4d330b82d7
* first commit for the Astra DB / Cassandra notebooks * add json with quotes * towards the final cassIO pilot notebook * small changes to the copy * cassIO pilot completed and its readme done * fix silly markdown error * fix silly markdown error 2 * astra vector link change and vector search picture improved * added link to docs for connecting to Cassandra cluster * CQL version of the flow * revised readme * final adjustments around metrics/distances * links' final version assumes files in openai's main branch * Add ref to QA+vector general guide; fix prompt; clarified conclusion paragraph; typos |
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| analyticdb | ||
| cassandra_astradb | ||
| chroma | ||
| hologres | ||
| kusto | ||
| milvus | ||
| myscale | ||
| pinecone | ||
| PolarDB | ||
| 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.