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#

rag-pipeline

Here are 633 public repositories matching this topic...

A minimal Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

  • UpdatedFeb 20, 2026
  • Jupyter Notebook

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

  • UpdatedDec 4, 2025
  • JavaScript

High-accuracy PDF-to-Markdown OCR API using LLMs with vision capabilities. Features parallel processing, batching, and auto-retry logic for scalable extraction.

  • UpdatedNov 29, 2025
  • Python

A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).

  • UpdatedFeb 14, 2026
  • Python

HiveMind Protocol - A Local-First, Privacy-Preserving Architecture for Agentic RAG

  • UpdatedDec 1, 2025
  • TypeScript

Move from idea to production in hours with policy-driven autonomous AI agents. Unified Control Plane: Centralised tools, MCPs, models, data, and policies with consistent observability and governance.

  • UpdatedFeb 20, 2026
  • Python

PDFStract - The Extraction and Chunking Layer in Your RAG Pipeline - Available as CLI - WEBUI - API

  • UpdatedFeb 14, 2026
  • Python

A scalable RAG platform combining LangGraph agents, hybrid retrieval (Vector+Graph), and Ray orchestration on Kubernetes.

  • UpdatedDec 27, 2025
  • Python

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

  • UpdatedJan 18, 2026
  • Python

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.

  • UpdatedDec 5, 2025

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).

  • UpdatedNov 18, 2025
  • Python

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

  • UpdatedNov 24, 2025
  • Kotlin
kektordb

An in-memory Vector Database & AI Gateway written in Go. Supports HNSW, Hybrid Search (BM25), GraphRAG context, a built-in RAG Pipeline, and can be embedded directly into your apps.

  • UpdatedFeb 20, 2026
  • Go

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.

  • UpdatedFeb 15, 2026
  • Python

Generate & Ship UI with minimal effort - Open Source Generative UI with natural language

  • UpdatedApr 30, 2025
  • TypeScript
lexio

Quickest way to production grade RAG UI.

  • UpdatedFeb 16, 2026
  • TypeScript
XYZ-Bank-Customer-Churn-Predictor

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.

  • UpdatedFeb 9, 2026
  • Jupyter Notebook
AI-Interview-SAAS

AI-powered mock interview platform using Next.js, Gemini AI, JSON, Drizzle, NeonDB, API routes and Clerk for dynamic questions, feedback & session recording, plus Dockerized & deployed microservices.

  • UpdatedFeb 9, 2026
  • JavaScript

Your private AI companion that lives on your wrist. Complete local AI assistant with emotional intelligence.

  • UpdatedJan 14, 2026
  • C++

A python module library that simplifies RAG through abstraction

  • UpdatedNov 25, 2025
  • Python

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