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# Vector Databases
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This section of the OpenAI Cookbook showcases many of the vector databases available to support your semantic search use cases.
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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
- [AnalyticDB ](https://www.alibabacloud.com/help/en/analyticdb-for-postgresql/latest/get-started-with-analyticdb-for-postgresql )
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- [Cassandra/Astra DB ](https://docs.datastax.com/en/astra-serverless/docs/vector-search/qandasimsearch-quickstart.html )
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- [AzureSearch ](https://learn.microsoft.com/azure/search/search-get-started-vector )
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- [Chroma ](https://docs.trychroma.com/getting-started )
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- [Elasticsearch ](https://www.elastic.co/guide/en/elasticsearch/reference/current/knn-search.html )
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- [Hologres ](https://www.alibabacloud.com/help/en/hologres/latest/procedure-to-use-hologres )
- [Kusto ](https://learn.microsoft.com/en-us/azure/data-explorer/web-query-data )
- [Milvus ](https://milvus.io/docs/example_code.md )
- [MyScale ](https://docs.myscale.com/en/quickstart/ )
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- [MongoDB ](https://www.mongodb.com/products/platform/atlas-vector-search )
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- [Neon Postgres ](https://neon.tech/docs/ai/ai-intro )
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- [Pinecone ](https://docs.pinecone.io/docs/quickstart )
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- [PolarDB ](https://www.alibabacloud.com/help/en/polardb/latest/quick-start )
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- [Qdrant ](https://qdrant.tech/documentation/quick-start/ )
- [Redis ](https://github.com/RedisVentures/simple-vecsim-intro )
- [SingleStoreDB ](https://www.singlestore.com/blog/how-to-get-started-with-singlestore/ )
- [Typesense ](https://typesense.org/docs/guide/ )
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- [Weaviate ](https://weaviate.io/developers/weaviate/quickstart )
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- [Zilliz ](https://docs.zilliz.com/docs/quick-start-1 )