#Rag-pipeline
Showing 35 of 35 repositories tagged #rag-pipeline, ranked by stars
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No API. One File. Pure Swift
A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP tools, 20 format parsers. Zero external servers, zero API keys.
PDFStract - Extract, Chunking and Embedding Layer in Your RAG Pipeline - Available as CLI - WEBUI - API
CrawlAI RAG is an AI-powered website intelligence platform that allows users to crawl entire websites, index their content, and ask natural-language questions using Retrieval-Augmented Generation (RAG). It transforms static websites into queryable knowledge bases.
Open-source toolkit for reliable RAG pipelines: convert PDFs to Markdown, clean documents, inspect chunks, compare chunking strategies, and enrich metadata for LLM applications.
see live demo of chatbot. follow the link
A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.
Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API
Vectorless, Reasoning-Based Retrieval-Augmented Generation (RAG)
AI memory system combining vector search with temporal knowledge graph. Built-in cognitive engine for agents. Supports memory decay, contradiction detection, and MCP integration.
We believe that every SOTA result is only valid on its own dataset. RAGView provides a unified evaluation platform to benchmark different RAG methods on your specific data.
RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery ingestion pipeline, Gradio UI, and an evaluation suite (Hit-Rate, MRR, hybrid configs).
Agent Fusion is a local RAG semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task orchestration. Deploy with a single JAR
FinchBot is an AI Agent framework that empowers agents with true autonomy, built on LangChain v1.2 and LangGraph v1.0. With fully async architecture, agents gain the ability to self-decide, self-extend, and self-evolve
Agentic RAG Harness for long documents, Tree and Graph based reasoning. Cited answers down to the pixel
An open-source RAG platform to explore the unsealed Jeffrey Epstein court documents.
Generate & Ship UI with minimal effort - Open Source Generative UI with natural language
Your private AI companion that lives on your wrist. Complete local AI assistant with emotional intelligence.
HazelJS is AI native runtime and framework
Declarative Document Indexing (DDI) framework for Python. Define schemas, extract structured indices, search smarter.
Quickest way to production grade RAG UI.
Private LLM/RAG platform in one command for NVIDIA DGX Spark / GB10 (arm64). Validated on real hardware.
A lightweight, high-performance AI/RAG workspace and autonomous agent framework implemented in Go. Inspired by the Leann RAG backend architecture
Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.
Privacy-first clinical intelligence & EHR platform. React 19 Vite portal, FastAPI backend, LangGraph RAG, local Ollama LLM, XGBoost diagnostics (Diabetes, Heart, Liver, Kidney, Lungs), HL7 FHIR R4, ABDM consent stack, PySpark Delta Lake, Terraform AWS EKS IaC, Prometheus telemetry.
A multimodal RAG dashboard and interactive 3D Knowledge Graph. Process documents locally with Ollama or via Cloud APIs, powered by LightRAG, RAG-Anything and Neo4j.
A local-first RAG engine for web archival and semantic search. Crawl, embed, and query your own knowledge base entirely offline.
A python module library that simplifies RAG through abstraction
Real-time collaborative developer workspace featuring a workspace-wide RAG AI agent driven by Atlas Vector Search
This project demonstrates how to build a semantic search + RAG pipeline using .NET
A lightweight LLM evaluation layer that turns subjective model outputs into deterministic decisions by scoring attribution, specificity, relevance, and context quality—designed to detect hallucinations and enable production-grade LLM reliability.