Vector Store and Retriever Components

Learn how vector store and retriever components work in langchaingo.

Vector store component

The previous chapters demonstrated semantic search. However, they used features/APIs specific to the vector database (PostgreSQL, Pinecone, and Redis). The upcoming lessons will showcase the key value proposition of the langchaingo framework which provides an abstraction over multiple vector databases including PostgreSQL (using pgvector), Pinecone, Redis, OpenSearch, Weaviate, Milvus, etc.

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