RAG / 向量检索排行

⚡ Local chat assistants with AI superpowers

Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.

🧠 Guide to Building RAG (Retrieval-Augmented Generation) Applications

Nextcloud MCP Server

A Fork of Rikkahub with an overhauled UI and feature additions

AI-powered legal compliance assistant for alcohol beverage pricing laws — extracts, analyzes, and explains New York state-level regulationsusing RAG + knowledge-graph reasoning.

Embeddable RAG library for Elixir/Phoenix with agentic pipelines and dashboard

Integrated AI environment in the terminal. Build, test and instruct agents.

🤖👾🐶 下一代 Agentic 桌宠 = LLM + 记忆 + 情感 + RPG + Claude Code Next Gen Agentic Desktop Pet = LLM + Memory + Emotion + RPG + Claude Code

企业级 AI 智能体 Agent 平台，覆盖智能对话、文档知识问答、联网搜索、RAG 检索、MCP 工具协议、Skills 扩展等完整能力。三层执行器体系、双通道混合检索、组合式切块引擎、会话记忆管理、全链路可观测，每个环节都经过深 度设计和工程化打磨。

A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.

Buddhist Digital Text Platform — 10,500+ texts, 613 sources, trilingual cross-canon, AI Q&A (RAG), knowledge graph, full-text search

Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.

基于 LangChain/LangGraph 的 ReAct Agent ，结合 RAG、工具调用与 Streamlit 界面，面向智能客服与报告生成场景。

smart-llm-loader is a lightweight yet powerful Python package that transforms any document into LLM-ready chunks. Spend less time on preprocessing headaches and more time building what matters. From RAG systems to chatbots to document Q&A, SmartLLMLoader handles the heavy lifting so you can focus on creating exceptional AI applications.

🌱 Argus 是一个基于 RAG 架构的开源知识库平台，后端采用 Java 21 + Spring Boot + MyBatis-Plus + PostgreSQL/pgvector，前端采用 Vue 3 + TypeScript + Element Plus，AI 层基于 Spring AI Alibaba（通义千问）+ ReactAgent 图引擎，以 MinIO + Elasticsearch 为存储与检索引擎。

基于eino+gf+vue实现知识库的rag

A Systematic Survey of Deep Research

FoJin-powered Buddhist AI persona framework — source-grounded, boundary-aware, fidelity-tested, runtime-ready.

RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.