Vector Store

Example Code: examples/knowledge/vectorstores

Vector store is the core component of the Knowledge system, responsible for storing and retrieving vector representations of documents.

Supported Vector Stores

trpc-agent-go supports multiple vector store implementations:

Vector Store	Description
Memory	In-memory vector store
PGVector	PostgreSQL + pgvector extension
TcVector	Tencent Cloud vector database
Elasticsearch	Supports v7/v8/v9 versions
Qdrant	High-performance vector database
Milvus	High-performance vector database

Filter Support

All vector stores support filter functionality, including ID filtering, metadata filtering, and complex condition filtering (FilterCondition).

More Content

• Memory - In-memory vector store configuration
• PGVector - PostgreSQL + pgvector configuration
• TcVector - Tencent Cloud vector database configuration
• Elasticsearch - Elasticsearch configuration
• Qdrant - Qdrant configuration
• Milvus - Milvus configuration