#Embbedings
Showing 3 of 3 repositories tagged #embbedings, ranked by stars
Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.
Based on the large model development framework of langchain, LangGraph is integrated to create a scalable workflow architecture. RAG。基于langchain的大模型开发框架，集成LangGraph创建一个可扩展的工作流架构，RAG：结合检索向量知识库（Milvus），增强模型的知识检索能力，支持ChatGLM & OpenAI大语言
A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.