RAG / 向量检索排行

Make AI Free Again - Shard is a GUI for Ollama LLM's. Powered by Next.js.

Private RAG app sample using Llama3, Ollama and PostgreSQL

XLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, and token-counted chunks. Open-source Python library (MIT).

A lightweight Python library that allows any LLM agent to self-improve through feedback, without retraining models.

Most AI agents forget you the moment the tab closes. Constellation Engine gives them a hippocampus — a living star map with spreading activation, Hebbian writeback, episodic recall, and post-turn consolidation. Local-first, model-agnostic, AGPL.

203 deep-dive tutorials for AI agents, LLM frameworks, coding tools, MCP, and open-source developer platforms

Healthcare RAG agent with Neo4j knowledge graphs - Query medical data using LangChain, FastAPI & Streamlit

Similarity detection for Github Issues + AI code reviews

Dabarqus is incredibly fast RAG that runs everywhere.

Local memory infrastructure for AI agents. Store knowledge and skills in isolated vaults you compose, control and query.

Build-An-LLM-RAG-Chatbot-With-LangChain-Python

The Oracle LangChain integration provides official LangChain support for Oracle’s Generative AI and AI Platform services, enabling developers to build intelligent, secure, and scalable applications powered by Oracle’s cloud technologies.

The Most Powerful Open-Source Autonomous SQL Agents - RAG, NL2SQL

This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights from documents.

instinct.cpp provides ready to use alternatives to OpenAI Assistant API and built-in utilities for developing AI Agent applications (RAG, Chatbot, Code interpreter) powered by language models. Call it langchain.cpp if you like.

Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch

GenAI Experimentation

로컬 또는 클라우드 LLM을 사용해 문서 폴더 기반으로 검색·답변하는 RAG 어시스턴트

Obsidian vault intelligence

Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP