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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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SingleStoreDB | 1 year ago | |
analyticdb | 1 year ago | |
chroma | 1 year ago | |
hologres | 1 year ago | |
kusto | 1 year ago | |
milvus | 2 years ago | |
myscale | 1 year ago | |
pinecone | 1 year ago | |
qdrant | 1 year ago | |
redis | 1 year ago | |
typesense | 1 year ago | |
weaviate | 1 year ago | |
zilliz | 1 year ago | |
README.md | 1 year ago |
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.