diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 78f9a91..95dfebf 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -14,7 +14,7 @@ When contributing new content, read through our [contribution guidelines](https: - [ ] I have added a new entry in [registry.yaml](/registry.yaml) so that my content renders on the cookbook website. - [ ] I have conducted a self-review of my content based on the [contribution guidelines](https://github.com/openai/openai-cookbook/blob/main/CONTRIBUTING.md#rubric): - - [ ] Relevance: This content is related to building with OpenAI technlogies and is useful to others. + - [ ] Relevance: This content is related to building with OpenAI technologies and is useful to others. - [ ] Uniqueness: I have searched for related examples in the OpenAI Cookbook, and verified that my content offers new insights or unique information compared to existing documentation. - [ ] Spelling and Grammar: I have checked for spelling or grammatical mistakes. - [ ] Clarity: I have done a final read-through and verified that my submission is well-organized and easy to understand. diff --git a/examples/vector_databases/weaviate/README.md b/examples/vector_databases/weaviate/README.md index 9bd6231..6e70fbd 100644 --- a/examples/vector_databases/weaviate/README.md +++ b/examples/vector_databases/weaviate/README.md @@ -12,7 +12,7 @@ You can run Weaviate (including the OpenAI modules if desired) in three ways: This folder contains a variety of Weaviate and OpenAI examples. -| Name | Description | lanugage | Google Colab | +| Name | Description | language | Google Colab | | --- | --- | --- | --- | | [Getting Started with Weaviate and OpenAI](./getting-started-with-weaviate-and-openai.ipynb) | A simple getting started for *semantic vector search* using the OpenAI vectorization module in Weaviate (`text2vec-openai`) | Python Notebook | [link](https://colab.research.google.com/drive/1RxpDE_ruCnoBB3TfwAZqdjYgHJhtdwhK) | | [Hybrid Search with Weaviate and OpenAI](./hybrid-search-with-weaviate-and-openai.ipynb) | A simple getting started for *hybrid search* using the OpenAI vectorization module in Weaviate (`text2vec-openai`) | Python Notebook | [link](https://colab.research.google.com/drive/1E75BALWoKrOjvUhaznJKQO0A-B1QUPZ4) |