#rag

The most advanced MCP server for Obsidian. Hybrid retrieval (BM25 + ML embeddings + BGE reranker, RRF-fused), HNSW + int8 quantization, standalone .base file execution, GraphRAG-light wikilink communities, PDFs + OCR, stateful remote MCP. For Claude Code, Claude Desktop, Cursor, ChatGPT, Codex.

GTT Bot — a RAG-powered Discord bot grounded in an Obsidian knowledge base. Local vector search, Claude API for answers, built for the Goju Tech Talk community.

Agent Memory Kit System: Capture every correction and interaction to build your own SLM from day one

Topic-grained, layered memory layer for AI coding agents — local-first, MCP, single binary. Plug Claude Code / Cursor / Windsurf / Antigravity into persistent memory across sessions and machines.

AI learning portfolio from machine learning to RAG and Agent systems.

12-question wizard that recommends an optimal RAG architecture (Standard / Graph / Agentic) with an AI-evaluated pipeline.

This is agent is designed for openeyes company to streamline thier end to end services like chat bot and ai agents

Système multi-agents LangGraph + FastAPI : routage chat/pipeline automatique, RAG Qdrant, MCP Brave Search, streaming WebSocket Redis, interface Next.js 14 et 78 tests

AI agent knowledge & long-term memory · MCP server, knowledge graph, BM25 + RRF retrieval · drop-in for Claude Code/ Openclaw/ Cursor / Codex / Hermes

Enterprise financial intelligence AI agent platform with RAG, SEC EDGAR ingestion, FRED macro analysis, SQL analytics, LangGraph orchestration, security guardrails, evaluation, and observability.

Hub for AI engineering case studies: multi-agent orchestration, RAG, browser automation, observability + evaluation.

A self-contained AI security lab demonstrating document poisoning, indirect prompt injection, and data exfiltration in RAG systems. Explores the "helpfulness paradox" across local and frontier LLMs.

Self-healing RAG pipeline with drift detection and auto-remediation. Built on n8n + Neon Postgres + OpenAI.

RAG-powered IT support assistant. Upload PDF documents and ask questions. Built with Python, OpenAI API, FAISS, and Streamlit.

Production-grade multi-agent AI system with LangGraph supervisor pattern, RAG knowledge base (ChromaDB), and Anthropic Claude — routes queries between specialized triage, scheduling, and eligibility agents

Take-home submission: OpenAI-only grounded RAG pipeline for messy legal documents — verbatim-quote-grounded first-pass memo + typed operator-edit learning loop. FastAPI + React + Docker.

Agente RAG conversacional sobre IA Generativa con Google Gemini, ChromaDB y LangGraph. Memoria por thread, interfaz Streamlit y base de conocimiento propia. Práctica final del Máster en Data Science e IA.

Markets don't predict — they remember. An LLM-powered historical-analogue research engine for macro markets. From a curated corpus of 30 events, 1971–2025.

Local-first personal automation platform for workflows, RAG/GraphRAG search, review queues, genealogy/media evidence, and operator-guided agents.

Local-first AI workspace for macOS — projects, notes, tasks, knowledge, Claude chat, MCP & CLI.

AI-powered multi-agent clinical decision support system built with Azure OpenAI, Semantic Kernel, RAG, and FHIR — enabling intelligent diagnosis, treatment planning, and healthcare workflow automation

Query Apple, Microsoft, and Tesla 2025 SEC filings and live web data using this hybrid RAG chatbot built with LangChain, FAISS, and Streamlit.

Group of agents working over vector based routing