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openai-cookbook/examples/vector_databases
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colin-openai bad59002d1
Splitting Vector Databases into individual cookbooks (#529) 
* Initial commit of vector database cookbooks split out individually

* Moved notebooks to each provider's named folder and updated the README

* Removed vector DB overall cookbook in favour of individual directories
2023-06-28 01:37:01 -07:00
..
analyticdb
Merge pull request #374 from wangxuqi/analyticdb_langchain_example
2023-05-12 10:25:31 -07:00
chroma
Splitting Vector Databases into individual cookbooks (#529)
2023-06-28 01:37:01 -07:00
hologres
Add Hologres as a vector database with python notebook example (#404)
2023-05-19 11:16:27 -07:00
kusto
kusto vector sample added
2023-05-11 11:06:34 +08:00
milvus
Zilliz integration and Milvus bugfixes (#259)
2023-03-28 15:36:24 -07:00
myscale
Splitting Vector Databases into individual cookbooks (#529)
2023-06-28 01:37:01 -07:00
pinecone
Splitting Vector Databases into individual cookbooks (#529)
2023-06-28 01:37:01 -07:00
qdrant
Splitting Vector Databases into individual cookbooks (#529)
2023-06-28 01:37:01 -07:00
redis
Splitting Vector Databases into individual cookbooks (#529)
2023-06-28 01:37:01 -07:00
SingleStoreDB
Adding SingleStoreDB as a vector database with Python notebook (#402)
2023-05-22 16:05:50 -07:00
typesense
Splitting Vector Databases into individual cookbooks (#529)
2023-06-28 01:37:01 -07:00
weaviate
Splitting Vector Databases into individual cookbooks (#529)
2023-06-28 01:37:01 -07:00
zilliz
update to token for zilliz (#552)
2023-06-27 12:53:26 -07:00
README.md
Splitting Vector Databases into individual cookbooks (#529)
2023-06-28 01:37:01 -07:00

README.md

Vector Databases

This section of the OpenAI Cookbook showcases many of the vector databases available to support your semantic search use cases.

Vector databases can be a great accompaniment for knowledge retrieval applications, which reduce hallucinations by providing the LLM with the relevant context to answer questions.

Each provider has their own named directory, with a standard notebook to introduce you to using our API with their product, and any supplementary notebooks they choose to add to showcase their functionality.

Guides & deep dives