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A simple RAG pipeline

A Discord bot using Swarmauri LLM, RAG agent, and Hikari.

Modular, composable RAG retrieval library —— Build your retrieval pipeline like forging parts.

A library for generating dataset and evaluating these datasets on RAG based solutions

A dummy placeholder package for raggae.

Ragged array library, complying with Python API specification.

Efficient RaggedBuffer datatype that implements 3D arrays with variable-length 2nd dimension.

Typing stubs for Ragged

Fix ragged right edges in LLM-generated ASCII/Unicode box diagrams

RAG dataset generator

A modular RAG library with embeddings and vector store support

Python SDK for ragger.ai RAG API

Simple vector database operations with Qdrant

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llama index based library for building multimodal RAG systems

client tool for raggify, a llama index based library for building multimodal RAG systems

raggify-perception repo

Version control for your RAG pipeline — compare embedding models on your own data

Permission-aware retrieval for RAG applications

scraping stuff

A very basic calculator

RAG made simple

A Python package to test in local

A Python package to test in local

Python Client SDK Generated by Speakeasy.

Convert any website into RAG vector DB

A simple, clean Python library for Retrieval-Augmented Generation (RAG)

MCP Server for RAG documentation search with Qdrant and Ollama

Automatic RAG Pattern Optimization Engine

A lightweight RAG pipeline toolkit powered by HuggingFace

Modular RAG toolkit

ragl: retrieval-augmented generation (RAG) for text.

A medley of tools to make RAG-based applications.

A modular RAG library with embeddings and vector store support

RAG-LAB is an open-source lighter, faster and cheaper RAG toolkit supported by Target Pilot, designed to transform the latest RAG concepts into stable and practical engineering tools. The project currently supports GraphRAG and HybridRAG.

Python tools to create a custom top down raglan sweater

Embedding diagnostics toolkit for RAG systems

RAGLens CLI for debugging retrieval behavior in RAG systems

Portable memory for small text corpora - create searchable .raglet files

Librería para consultas RAG

A modular, production-grade Retrieval-Augmented Generation library

RAGLight is a lightweight and modular Python library for implementing Retrieval-Augmented Generation (RAG). It enhances the capabilities of Large Language Models (LLMs) by combining document retrieval with natural language inference.

Lineage-aware RAG engine for auditable, reproducible, versioned retrieval and answers

Production-ready RAG pipeline evaluation and observability platform

A Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL.

Local-first RAG-lite CLI: condense docs into structured Markdown, then index/query with Chroma + hybrid search

Local-first RAG toolkit backed by a single SQLite database

A tool for uploading and embedding documents for RAG systems

Local-first, provider-agnostic RAG toolkit

Stateful RAG kernel with corpus nectar — agents know what's in the corpus before any query runs

RAGmap is a simple RAG visualization package for exploring document chunks and queries in embedding space

A package for creating retrieval-augmented generation apps

RAGMax - Advanced RAG memory system for AI platforms via MCP

Monitor your LLM calls. Test your LLM app.

A package for integrating RagMetrics with LLM calls

A modular framework for evaluating and optimizing RAG pipelines.

AWS extensions for Ragna

lightweight Extract-Transform-Load (ETL) framework for Python 3+

A lightweight personal AI assistant framework

RAGNARDoc (RAG Native Automatic Reingestion for Documents) is a tool that runs natively on a developer workstation and automatically ingests local documents into various Retrieval Augmented Generation indexes. It is designed as a companion app for workstation RAG applications which would benefit from maintaining an up-to-date view of documents hosted natively on a user's workstation.

Local-first evaluation framework for RAG pipelines and AI agents

Hybrid structure-aware retrieval — BM25 + embeddings + document graph expansion. Runs fully offline, no API key required.

Python SDK for the Ragnerock API.

Multi-knowledge-base RAG system with MCP integration

Documentation RAG pipeline with a Textual dashboard and MCP server

LLM-retrieval based knowledge grounding

RAG framework

Handle Bottle.py errors with love <3

RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡

A RAG system for creating knowledge bases from different document formats

Official Python SDK for the Ragora RAG API - Build AI-powered knowledge bases

Common utilities

Rag

Scrapper

A tool for reference-assisted assembly

A Python package for RAG pipelines using OpenAI and FAISS.

Portable Retrieval-Augmented Generation Library

Portable Retrieval-Augmented Generation Library

A comprehensive document parser for RAG applications with support for PDF, DOCX, PPTX, XLSX, and more

Retrive PDF files context for your LLMs

This library allows for granular testing of llm-applications based on expert input.

ragpipe: iterate quickly on your RAG pipelines.

RAG in 3 functions. Ingest any data source into vector databases.

ragpipe-lite: unified RAG ingestion pipeline (loaders, chunking, embeddings, vector store export).

Lightweight, production-ready RAG toolkit with 50-70% accuracy improvements. Enhanced BM25, BGE-Base embeddings, and semantic chunking - 100% offline.

Pre-deployment domain difficulty diagnostic for RAG. Know if your benchmark transfers — before you deploy.

Retrieval diagnostics and regression testing for RAG systems.

Unified RAG service abstraction for vector stores like Qdrant.

This project implements a local-first RAG chat system that reads and processes various text-based log files. It splits the content into manageable chunks, generates embeddings using Ollama or OpenAI, and allows users to interactively query the logs for specific information. The application features a customizable response format and supports configuration for user preferences.

Local multimodal semantic search CLI for technical documentation (text, PDFs, images) using ColQwen3 late-interaction embeddings.

A modular RAG SDK for ingesting web, document, and API sources, chunking them, and storing embeddings in pluggable vector databases.

An evaluation library for RAG models

Ratio graph handling in Python.

Unified data extraction and preprocessing toolkit for Retrieval-Augmented Generation (RAG) pipelines.

Local semantic code recall with mxbai embeddings and SQLite

Lightweight evaluation framework for Retrieval Augmented Generation systems, focused on simplicity and long-term consistency.