abhirockzz/langchain-go-postgresql-vectorstore
langchain Vector Store implementation based for PostgreSQL pgvector
This is a tool for developers building Go applications that need to store and retrieve data using vector embeddings. It allows you to use a PostgreSQL database with the pgvector extension as the backend for your LangChain Go applications. You input text and its corresponding vector embeddings, and it manages their storage and retrieval to power AI features like question-answering.
No commits in the last 6 months.
Use this if you are a Go developer building AI-powered applications with LangChain Go and want to use PostgreSQL with pgvector as your vector database.
Not ideal if you are not a Go developer or are looking for a standalone application rather than a programming library.
Stars
9
Forks
2
Language
Go
License
—
Category
Last pushed
Oct 06, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/abhirockzz/langchain-go-postgresql-vectorstore"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
apconw/Aix-DB
Aix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。
FalkorDB/code-graph
A code-graph demo using GraphRAG-SDK and FalkorDB
symfony/ai-store
Low-level abstraction for storing and retrieving documents in a vector store.
kagisearch/vectordb
A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search.
awa-ai/awadb
AI Native database for embedding vectors