Python agents

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.

This library is to search the best parameters across different steps of the RAG process.

retrieval-augmented generation made simple

Zero-config RAG integration for LangChain, LlamaIndex, and AI agents

A comprehensive suite for evaluating RAG pipelines.

The Fastest Way to Audit Your RAG - Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, any LLM, visual reports.

ragsearch is a Python library designed for building a Retrieval-Augmented Generation (RAG) application that enables natural language querying over both structured and unstructured data. This tool leverages embedding models and a vector database (FAISS or ChromaDB) to provide an efficient and scalable search engine.

Async RAG toolkit on top of Postgres/pgvector and Voyage AI.

Ragstack is a one-click solution to deploy the retrieval augmented generation stack on your own infrastructure with open-source LLMs.

DataStax RAGStack

DataStax RAGStack Colbert implementation

DataStax RAGStack Knowledge Graph

DataStax RAGStack Graph Store

DataStax RAGStack Langchain

RAGStack Langflow

RAGStack Langflow base

DataStax RAGStack Llama Index

A tool for evaluating RAG pipelines

MCP server for RAGStack knowledge base - search, chat, upload, and scrape

RAG based LLM chatbot for dbt projects.

CLI tool to help retrieve RAG context from a corpus of documents.

RAG pipelines

Develop highly-concurrent web scrapers, easily.

Fetch, distill, and store authoritative references for external libraries

ragstruct - A Pseudo-Finetuning RAG Framework for structured JSON-based retrieval

Crossing Minds RAGsys python library

Table extraction from images to Markdown for RAG systems

PDF table extraction for RAG and LLM — convert PDF tables to clean HTML. Fast, local, no GPU. Handles merged cells, line-wrapped text, no serialization.

Python bindings for the Ragtastic API

A comprehensive Python library for testing and evaluating Retrieval-Augmented Generation (RAG) systems with LLM-generated questions and automated evaluation metrics

Ragtime 🎹 is an LLMOps framework to automatically evaluate Retrieval Augmented Generation (RAG) systems and compare different RAGs / LLMs

Local-first memory and RAG system for Claude Code - semantic search over code, docs, and team knowledge

Modular toolkit for building Retrieval-Augmented Generation (RAG) pipelines.

Observability and tracing for Retrieval-Augmented Generation pipelines

Lightweight RAG evaluation framework with Korean language support, BGE-M3 embeddings, and HCX-005/Gemini LLMs

It is a ragtrain!

Radar Analysis Graphical Utility (RAGU)

Security middleware for RAG pipelines — detect adversarial hallucination attacks before they reach your LLM.

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Ragul — an agglutinative programming language

A tool for evaluating RAG pipelines

Retrieval augmented validation for TF inference in single cell biology

A package that abstracts most of the utilities used in RAG applications

Self-optimizing RAG: adaptive pipeline routing, multi-LLM, citations, persistence

Async-first version tracking system for RAG applications

5-dimensional production drift detection for RAG systems.

Decorator-First RAG Visualizer

A open-source tool to to visualise your RAG documents 🔮.

A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented Generation

OpenTelemetry-native RAG observability SDK with semantic quality scores

The way to build RAG — modular, configurable, plugin-based

Production-grade RAG toolkit for document ingestion and retrieval with hybrid search support

Production-grade RAG in 4 lines — hybrid search, streaming, and agent tools on by default.

A comprehensive benchmarking framework for Retrieval-Augmented Generation (RAG) systems

Unstable experiments with pycord.

A simple RAG (Retrieval-Augumented Generation) Task Manager

A package for LLMOps related tasks

A RAG (Retrieval-Augmented Generation) toolkit with Milvus integration

A open-source tool to to visualise your RAG documents 🔮.

A simple RAG (Retrieval-Augmented Generation) framework for Python.

Sending big files with mqtt feature was added

Raindrop observability integration for Azure OpenAI

Raindrop observability integration for AWS Bedrock

Raindrop integration for CrewAI multi-agent framework

Raindrop integration for Deep Agents

Raindrop observability integration for DSPy

Raindrop integration for LangChain