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* 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 |
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| analyticdb | ||
| chroma | ||
| hologres | ||
| kusto | ||
| milvus | ||
| myscale | ||
| pinecone | ||
| qdrant | ||
| redis | ||
| SingleStoreDB | ||
| typesense | ||
| weaviate | ||
| zilliz | ||
| 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.