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tags:
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tags:
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- completions
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- completions
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- title: Creating slides with the Assistants API and DALL-E3
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- title: Creating slides with the Assistants API and DALL·E 3
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path: examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb
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path: examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb
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date: 2023-12-08
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date: 2023-12-08
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authors:
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authors:
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@ -52,7 +52,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Clustering for Transaction Classification
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- title: Clustering for transaction classification
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path: examples/Clustering_for_transaction_classification.ipynb
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path: examples/Clustering_for_transaction_classification.ipynb
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date: 2022-10-20
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date: 2022-10-20
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authors:
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authors:
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@ -99,7 +99,7 @@
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- embeddings
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- embeddings
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- tiktoken
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- tiktoken
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- title: Long Document Content Extraction
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- title: Long document content extraction
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path: examples/Entity_extraction_for_long_documents.ipynb
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path: examples/Entity_extraction_for_long_documents.ipynb
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date: 2023-02-20
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date: 2023-02-20
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authors:
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authors:
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@ -164,7 +164,7 @@
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- completions
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- completions
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- functions
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- functions
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- title: How to count tokens with tiktoken
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- title: How to count tokens with Tiktoken
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path: examples/How_to_count_tokens_with_tiktoken.ipynb
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path: examples/How_to_count_tokens_with_tiktoken.ipynb
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date: 2022-12-16
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date: 2022-12-16
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authors:
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authors:
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@ -293,7 +293,7 @@
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tags:
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tags:
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- completions
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- completions
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- title: Unit test writing using a multi-step prompt (with the older API)
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- title: Unit test writing using a multi-step prompt with legacy Completions
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path: >-
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path: >-
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examples/Unit_test_writing_using_a_multi-step_prompt_with_older_completions_API.ipynb
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examples/Unit_test_writing_using_a_multi-step_prompt_with_older_completions_API.ipynb
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date: 2023-05-19
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date: 2023-05-19
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@ -389,7 +389,7 @@
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tags:
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tags:
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- dall-e
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- dall-e
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- title: Azure chat completions example (preview)
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- title: Azure Chat Completions example (preview)
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path: examples/azure/chat.ipynb
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path: examples/azure/chat.ipynb
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date: 2023-03-28
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date: 2023-03-28
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authors:
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authors:
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@ -399,7 +399,7 @@
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tags:
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tags:
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- completions
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- completions
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- title: Azure chat completion models with your own data (preview)
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- title: Azure Chat Completion models with your own data (preview)
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path: examples/azure/chat_with_your_own_data.ipynb
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path: examples/azure/chat_with_your_own_data.ipynb
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date: 2023-09-11
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date: 2023-09-11
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authors:
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authors:
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@ -474,7 +474,7 @@
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- embeddings
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- embeddings
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- completions
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- completions
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- title: Fine-Tuned Q&A - Collect Data
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- title: Fine-Tuned Q&A - collect data
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path: examples/fine-tuned_qa/olympics-1-collect-data.ipynb
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path: examples/fine-tuned_qa/olympics-1-collect-data.ipynb
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date: 2022-03-10
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date: 2022-03-10
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authors:
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authors:
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@ -484,7 +484,7 @@
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- embeddings
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- embeddings
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- completions
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- completions
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- title: Fine-Tuned Q&A - Create Q&A
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- title: Fine-Tuned Q&A - create Q&A
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path: examples/fine-tuned_qa/olympics-2-create-qa.ipynb
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path: examples/fine-tuned_qa/olympics-2-create-qa.ipynb
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date: 2022-03-10
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date: 2022-03-10
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authors:
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authors:
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@ -494,7 +494,7 @@
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- embeddings
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- embeddings
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- completions
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- completions
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- title: Fine-Tuned Q&A - Train
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- title: Fine-Tuned Q&A - train
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path: examples/fine-tuned_qa/olympics-3-train-qa.ipynb
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path: examples/fine-tuned_qa/olympics-3-train-qa.ipynb
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date: 2022-03-10
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date: 2022-03-10
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authors:
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authors:
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@ -512,7 +512,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Financial Document Analysis with LlamaIndex
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- title: Financial document analysis with LlamaIndex
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path: >-
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path: >-
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examples/third_party/financial_document_analysis_with_llamaindex.ipynb
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examples/third_party/financial_document_analysis_with_llamaindex.ipynb
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date: 2023-06-22
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date: 2023-06-22
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@ -522,7 +522,7 @@
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- embeddings
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- embeddings
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- completions
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- completions
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- title: Vector Databases
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- title: Vector databases
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path: examples/vector_databases/README.md
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path: examples/vector_databases/README.md
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date: 2023-06-28
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date: 2023-06-28
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authors:
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authors:
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@ -568,7 +568,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Question Answering with Langchain, AnalyticDB and OpenAI
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- title: Question answering with Langchain, AnalyticDB and OpenAI
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path: >-
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path: >-
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examples/vector_databases/analyticdb/QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb
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examples/vector_databases/analyticdb/QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb
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date: 2023-05-05
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date: 2023-05-05
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@ -587,7 +587,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB
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- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB
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path: examples/vector_databases/cassandra_astradb/Philosophical_Quotes_CQL.ipynb
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path: examples/vector_databases/cassandra_astradb/Philosophical_Quotes_CQL.ipynb
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date: 2023-08-29
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date: 2023-08-29
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authors:
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authors:
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@ -596,7 +596,7 @@
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- embeddings
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- embeddings
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- completions
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- completions
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- title: Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB
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- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB
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path: >-
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path: >-
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examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
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examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
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date: 2023-08-29
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date: 2023-08-29
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@ -614,7 +614,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Using Chroma for Embeddings Search
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- title: Using Chroma for embeddings search
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path: examples/vector_databases/chroma/Using_Chroma_for_embeddings_search.ipynb
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path: examples/vector_databases/chroma/Using_Chroma_for_embeddings_search.ipynb
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date: 2023-06-28
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date: 2023-06-28
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authors:
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authors:
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@ -623,7 +623,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Robust Question Answering with Chroma and OpenAI
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- title: Robust question answering with Chroma and OpenAI
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path: examples/vector_databases/chroma/hyde-with-chroma-and-openai.ipynb
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path: examples/vector_databases/chroma/hyde-with-chroma-and-openai.ipynb
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date: 2023-04-06
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date: 2023-04-06
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authors:
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authors:
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@ -669,7 +669,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Kusto as a Vector database for AI embeddings
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- title: Kusto as a vector database for embeddings
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path: >-
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path: >-
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examples/vector_databases/kusto/Getting_started_with_kusto_and_openai_embeddings.ipynb
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examples/vector_databases/kusto/Getting_started_with_kusto_and_openai_embeddings.ipynb
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date: 2023-05-10
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date: 2023-05-10
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Kusto as a Vector database
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- title: Kusto as a vector database
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path: examples/vector_databases/kusto/README.md
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path: examples/vector_databases/kusto/README.md
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date: 2023-05-10
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date: 2023-05-10
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authors:
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authors:
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@ -686,7 +686,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Filtered Search with Milvus and OpenAI
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- title: Filtered search with Milvus and OpenAI
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path: >-
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path: >-
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examples/vector_databases/milvus/Filtered_search_with_Milvus_and_OpenAI.ipynb
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examples/vector_databases/milvus/Filtered_search_with_Milvus_and_OpenAI.ipynb
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date: 2023-03-28
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date: 2023-03-28
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@ -695,7 +695,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Getting Started with Milvus and OpenAI
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- title: Getting started with Milvus and OpenAI
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path: >-
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path: >-
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examples/vector_databases/milvus/Getting_started_with_Milvus_and_OpenAI.ipynb
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examples/vector_databases/milvus/Getting_started_with_Milvus_and_OpenAI.ipynb
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date: 2023-03-28
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date: 2023-03-28
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@ -713,7 +713,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Using MyScale for Embeddings Search
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- title: Using MyScale for embeddings search
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path: examples/vector_databases/myscale/Using_MyScale_for_embeddings_search.ipynb
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path: examples/vector_databases/myscale/Using_MyScale_for_embeddings_search.ipynb
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date: 2023-06-28
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date: 2023-06-28
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authors:
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authors:
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@ -721,7 +721,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Retrieval Augmentation for GPT-4 using Pinecone
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- title: Retrieval augmentation for GPT-4 using Pinecone
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path: examples/vector_databases/pinecone/GPT4_Retrieval_Augmentation.ipynb
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path: examples/vector_databases/pinecone/GPT4_Retrieval_Augmentation.ipynb
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date: 2023-03-24
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date: 2023-03-24
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authors:
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authors:
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@ -731,7 +731,7 @@
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- completions
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- completions
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- tiktoken
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- tiktoken
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- title: Retrieval Augmented Generative Question Answering with Pinecone
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- title: Retrieval augmented generative question answering with Pinecone
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path: examples/vector_databases/pinecone/Gen_QA.ipynb
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path: examples/vector_databases/pinecone/Gen_QA.ipynb
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date: 2023-02-07
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date: 2023-02-07
|
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authors:
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authors:
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@ -740,7 +740,7 @@
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- embeddings
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- embeddings
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- completions
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- completions
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- title: Pinecone Vector Database
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- title: Pinecone vector database
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path: examples/vector_databases/pinecone/README.md
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path: examples/vector_databases/pinecone/README.md
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date: 2023-03-24
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date: 2023-03-24
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authors:
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authors:
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@ -749,7 +749,7 @@
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- embeddings
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- embeddings
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- completions
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- completions
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- title: Semantic Search with Pinecone and OpenAI
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- title: Semantic search with Pinecone and OpenAI
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path: examples/vector_databases/pinecone/Semantic_Search.ipynb
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path: examples/vector_databases/pinecone/Semantic_Search.ipynb
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date: 2023-03-24
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date: 2023-03-24
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authors:
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authors:
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@ -757,7 +757,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Using Pinecone for Embeddings Search
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- title: Using Pinecone for embeddings search
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path: >-
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path: >-
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examples/vector_databases/pinecone/Using_Pinecone_for_embeddings_search.ipynb
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examples/vector_databases/pinecone/Using_Pinecone_for_embeddings_search.ipynb
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date: 2023-06-28
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date: 2023-06-28
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Question Answering with Langchain, Qdrant and OpenAI
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- title: Question answering with Langchain, Qdrant and OpenAI
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path: examples/vector_databases/qdrant/QA_with_Langchain_Qdrant_and_OpenAI.ipynb
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path: examples/vector_databases/qdrant/QA_with_Langchain_Qdrant_and_OpenAI.ipynb
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date: 2023-02-16
|
date: 2023-02-16
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authors:
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authors:
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@ -783,7 +783,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Using Qdrant for Embeddings Search
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- title: Using Qdrant for embeddings search
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path: examples/vector_databases/qdrant/Using_Qdrant_for_embeddings_search.ipynb
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path: examples/vector_databases/qdrant/Using_Qdrant_for_embeddings_search.ipynb
|
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date: 2023-06-28
|
date: 2023-06-28
|
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authors:
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authors:
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@ -801,7 +801,7 @@
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- embeddings
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- embeddings
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- completions
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- completions
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- title: Using Redis for Embeddings Search
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- title: Using Redis for embeddings search
|
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path: examples/vector_databases/redis/Using_Redis_for_embeddings_search.ipynb
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path: examples/vector_databases/redis/Using_Redis_for_embeddings_search.ipynb
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date: 2023-06-28
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date: 2023-06-28
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authors:
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authors:
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@ -809,7 +809,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Using Redis as a Vector Database with OpenAI
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- title: Using Redis as a vector database with OpenAI
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path: examples/vector_databases/redis/getting-started-with-redis-and-openai.ipynb
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path: examples/vector_databases/redis/getting-started-with-redis-and-openai.ipynb
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date: 2023-02-13
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date: 2023-02-13
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authors:
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authors:
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@ -817,7 +817,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Running Hybrid VSS Queries with Redis and OpenAI
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- title: Running hybrid VSS queries with Redis and OpenAI
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path: examples/vector_databases/redis/redis-hybrid-query-examples.ipynb
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path: examples/vector_databases/redis/redis-hybrid-query-examples.ipynb
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date: 2023-05-11
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date: 2023-05-11
|
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authors:
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authors:
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@ -825,7 +825,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Redis Vectors as JSON with OpenAI
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- title: Redis vectors as JSON with OpenAI
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path: examples/vector_databases/redis/redisjson/redisjson.ipynb
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path: examples/vector_databases/redis/redisjson/redisjson.ipynb
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date: 2023-05-10
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date: 2023-05-10
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authors:
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authors:
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@ -833,7 +833,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Redis as a Context Store with OpenAI Chat
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- title: Redis as a context store with Chat Completions
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path: examples/vector_databases/redis/redisqna/redisqna.ipynb
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path: examples/vector_databases/redis/redisqna/redisqna.ipynb
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date: 2023-05-11
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date: 2023-05-11
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authors:
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authors:
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tags:
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tags:
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- embeddings
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- embeddings
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- title: Question Answering with Langchain, Tair and OpenAI
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- title: Question answering with Langchain, Tair and OpenAI
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path: examples/vector_databases/tair/QA_with_Langchain_Tair_and_OpenAI.ipynb
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path: examples/vector_databases/tair/QA_with_Langchain_Tair_and_OpenAI.ipynb
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date: 2023-09-11
|
date: 2023-09-11
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authors:
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authors:
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@ -868,7 +868,7 @@
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tags:
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tags:
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- embeddings
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- embeddings
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||||||
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- title: Using Typesense for Embeddings Search
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- title: Using Typesense for embeddings search
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path: >-
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path: >-
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examples/vector_databases/typesense/Using_Typesense_for_embeddings_search.ipynb
|
examples/vector_databases/typesense/Using_Typesense_for_embeddings_search.ipynb
|
||||||
date: 2023-06-28
|
date: 2023-06-28
|
||||||
@ -885,7 +885,7 @@
|
|||||||
tags:
|
tags:
|
||||||
- embeddings
|
- embeddings
|
||||||
|
|
||||||
- title: Using Weaviate for Embeddings Search
|
- title: Using Weaviate for embeddings search
|
||||||
path: >-
|
path: >-
|
||||||
examples/vector_databases/weaviate/Using_Weaviate_for_embeddings_search.ipynb
|
examples/vector_databases/weaviate/Using_Weaviate_for_embeddings_search.ipynb
|
||||||
date: 2023-06-28
|
date: 2023-06-28
|
||||||
@ -894,7 +894,7 @@
|
|||||||
tags:
|
tags:
|
||||||
- embeddings
|
- embeddings
|
||||||
|
|
||||||
- title: Using Weaviate with Generative OpenAI module for Generative Search
|
- title: Using Weaviate with generative OpenAI module for generative search
|
||||||
path: >-
|
path: >-
|
||||||
examples/vector_databases/weaviate/generative-search-with-weaviate-and-openai.ipynb
|
examples/vector_databases/weaviate/generative-search-with-weaviate-and-openai.ipynb
|
||||||
date: 2023-05-22
|
date: 2023-05-22
|
||||||
@ -904,7 +904,7 @@
|
|||||||
- embeddings
|
- embeddings
|
||||||
- completions
|
- completions
|
||||||
|
|
||||||
- title: Using Weaviate with OpenAI vectorize module for Embeddings Search
|
- title: Using Weaviate with OpenAI vectorize module for embeddings search
|
||||||
path: >-
|
path: >-
|
||||||
examples/vector_databases/weaviate/getting-started-with-weaviate-and-openai.ipynb
|
examples/vector_databases/weaviate/getting-started-with-weaviate-and-openai.ipynb
|
||||||
date: 2023-02-13
|
date: 2023-02-13
|
||||||
@ -913,7 +913,7 @@
|
|||||||
tags:
|
tags:
|
||||||
- embeddings
|
- embeddings
|
||||||
|
|
||||||
- title: Using Weaviate with OpenAI vectorize module for Hybrid Search
|
- title: Using Weaviate with OpenAI vectorize module for hybrid search
|
||||||
path: >-
|
path: >-
|
||||||
examples/vector_databases/weaviate/hybrid-search-with-weaviate-and-openai.ipynb
|
examples/vector_databases/weaviate/hybrid-search-with-weaviate-and-openai.ipynb
|
||||||
date: 2023-02-13
|
date: 2023-02-13
|
||||||
@ -992,7 +992,7 @@
|
|||||||
- completions
|
- completions
|
||||||
- embeddings
|
- embeddings
|
||||||
|
|
||||||
- title: Fine-Tuning for Retrieval Augmented Generation (RAG) with Qdrant
|
- title: Fine-Tuning for retrieval augmented generation (RAG) with Qdrant
|
||||||
path: examples/fine-tuned_qa/ft_retrieval_augmented_generation_qdrant.ipynb
|
path: examples/fine-tuned_qa/ft_retrieval_augmented_generation_qdrant.ipynb
|
||||||
date: 2023-09-04
|
date: 2023-09-04
|
||||||
authors:
|
authors:
|
||||||
@ -1001,7 +1001,7 @@
|
|||||||
- completions
|
- completions
|
||||||
- embeddings
|
- embeddings
|
||||||
|
|
||||||
- title: How to automate AWS tasks with function-calling
|
- title: How to automate AWS tasks with function calling
|
||||||
path: examples/third_party/How_to_automate_S3_storage_with_functions.ipynb
|
path: examples/third_party/How_to_automate_S3_storage_with_functions.ipynb
|
||||||
date: 2023-09-27
|
date: 2023-09-27
|
||||||
authors:
|
authors:
|
||||||
@ -1027,7 +1027,7 @@
|
|||||||
tags:
|
tags:
|
||||||
- embeddings
|
- embeddings
|
||||||
|
|
||||||
- title: Question Answering with LangChain, Deep Lake, & OpenAI
|
- title: Question answering with LangChain, Deep Lake, & OpenAI
|
||||||
path: examples/vector_databases/deeplake/deeplake_langchain_qa.ipynb
|
path: examples/vector_databases/deeplake/deeplake_langchain_qa.ipynb
|
||||||
date: 2023-09-30
|
date: 2023-09-30
|
||||||
authors:
|
authors:
|
||||||
@ -1035,7 +1035,7 @@
|
|||||||
tags:
|
tags:
|
||||||
- embeddings
|
- embeddings
|
||||||
|
|
||||||
- title: Fine-tuning GPT with Weights & Biases
|
- title: Fine-tuning OpenAI models with Weights & Biases
|
||||||
path: examples/third_party/GPT_finetuning_with_wandb.ipynb
|
path: examples/third_party/GPT_finetuning_with_wandb.ipynb
|
||||||
date: 2023-10-04
|
date: 2023-10-04
|
||||||
authors:
|
authors:
|
||||||
@ -1053,7 +1053,7 @@
|
|||||||
- tiktoken
|
- tiktoken
|
||||||
- completions
|
- completions
|
||||||
|
|
||||||
- title: How to build an agent with the Node.js SDK
|
- title: How to build an agent with the OpenAI Node.js SDK
|
||||||
path: examples/How_to_build_an_agent_with_the_node_sdk.mdx
|
path: examples/How_to_build_an_agent_with_the_node_sdk.mdx
|
||||||
date: 2023-10-05
|
date: 2023-10-05
|
||||||
authors:
|
authors:
|
||||||
@ -1080,7 +1080,7 @@
|
|||||||
- ted-at-openai
|
- ted-at-openai
|
||||||
tags: []
|
tags: []
|
||||||
|
|
||||||
- title: Function-calling with an OpenAPI specification
|
- title: Function calling with an OpenAPI specification
|
||||||
path: examples/Function_calling_with_an_OpenAPI_spec.ipynb
|
path: examples/Function_calling_with_an_OpenAPI_spec.ipynb
|
||||||
date: 2023-10-15
|
date: 2023-10-15
|
||||||
authors:
|
authors:
|
||||||
@ -1090,7 +1090,7 @@
|
|||||||
- completions
|
- completions
|
||||||
- functions
|
- functions
|
||||||
|
|
||||||
- title: Fine tuning for function-calling
|
- title: Fine tuning for function calling
|
||||||
path: examples/Fine_tuning_for_function_calling.ipynb
|
path: examples/Fine_tuning_for_function_calling.ipynb
|
||||||
date: 2023-11-07
|
date: 2023-11-07
|
||||||
authors:
|
authors:
|
||||||
@ -1110,7 +1110,7 @@
|
|||||||
- vision
|
- vision
|
||||||
- speech
|
- speech
|
||||||
|
|
||||||
- title: What's new with DALL·E-3?
|
- title: What's new with DALL·E 3?
|
||||||
path: articles/what_is_new_with_dalle_3.mdx
|
path: articles/what_is_new_with_dalle_3.mdx
|
||||||
date: 2023-11-06
|
date: 2023-11-06
|
||||||
authors:
|
authors:
|
||||||
@ -1166,11 +1166,7 @@
|
|||||||
path: examples/RAG_with_graph_db.ipynb
|
path: examples/RAG_with_graph_db.ipynb
|
||||||
date: 2023-12-08
|
date: 2023-12-08
|
||||||
authors:
|
authors:
|
||||||
<<<<<<< HEAD
|
|
||||||
- katia-openai
|
|
||||||
=======
|
|
||||||
- katiagg
|
- katiagg
|
||||||
>>>>>>> e92df85ad4da5a9b74e65b6b7390977d297aa7fa
|
|
||||||
tags:
|
tags:
|
||||||
- embeddings
|
- embeddings
|
||||||
- completions
|
- completions
|
||||||
@ -1219,7 +1215,7 @@
|
|||||||
- embeddings
|
- embeddings
|
||||||
|
|
||||||
|
|
||||||
- title: Using GPT-4V to tag & caption images
|
- title: Using GPT-4 with Vision to tag & caption images
|
||||||
path: examples/Tag_caption_images_with_GPT4V.ipynb
|
path: examples/Tag_caption_images_with_GPT4V.ipynb
|
||||||
date: 2024-02-28
|
date: 2024-02-28
|
||||||
authors:
|
authors:
|
||||||
|
Loading…
x
Reference in New Issue
Block a user