Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
- Updated
Dec 4, 2025 - JavaScript
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
A minimal Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
AI-powered document analysis platform built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.
Open-source, self-hosted alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase and N8N on a React frontend.
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
Agentic RAG for any scenario. Customize sources, depth, and width
Prototype SDK for RAG development.
HiveMind Protocol - A Local-First, Privacy-Preserving Architecture for Agentic RAG
pdfLLM is a completely open source, proof of concept RAG app.
Open-source, fully private and local alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase, N8N on a React frontend using Ollama for local inference
AnythingLLM Embed widget submodule for the main AnythingLLM application
Open-source toolkit to extract structured knowledge graphs from documents and tables — power analytics, digital twins, and AI-driven assistants.
A RAG agent using Google's ADK & Vertex AI that lets set up semantic search across documents in under 2 minutes. Features GCS integration and natural language querying
A Terminal User Interface for AI collaboration on code, using a Retrieval-Augmented Generation (RAG) pipeline designed specifically for Rust code generation and refactoring.
A sophisticated LangGraph-based agent that automates financial options analysis with real-time data from Polygon.io, smart caching, persistent memory, and professional-grade analysis. Built for traders, analysts, and developers who need intelligent options data processing
Supacrawler's ultralight engine for scraping and crawling the web. Written in go for maximum performance and concurrency.
Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.
On premise enterprise-grade RAG-powered agentic workflow chatbot platform with multi-provider support
MediNotes: SOAP Note Generation through Ambient Listening, Large Language Model Fine-Tuning, and RAG
Add a description, image, and links to the rag-chatbot topic page so that developers can more easily learn about it.
To associate your repository with the rag-chatbot topic, visit your repo's landing page and select "manage topics."