Rag Chatbot Python Packages

apowerb

The open-source agentic framework to build, orchestrate, and operate production AI agents.

knowledge-rag

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.

ollama-workspace-agent

A Python CLI coding agent powered by remote Ollama, with workspace inspection and command-execution tools over Tailscale.

aquiles-rag

Is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or PostgreSQL. It offers a high-level interface using FastAPI REST APIs

chatnificent

Chatnificent: LLM chat app framework – Minimally complete. Maximally hackable.

django-ragkit

A reusable Django package for building RAG applications with LLMs, embeddings, and pgvector.

pembot

RAG chatbot project for my Please Explain Me blog website

ragit

Correct complete RAG -- built for Highway Workflow Engine

admin-api-lib

Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.

ragrefine

Lightweight retrieval refinement for RAG systems, combining neural reranking, lexical relevance, structured constraint matching, and reproducible evaluation over frozen candidate pools.

intentmind

Graph-based long-term memory for AI agents. Features associative recall, memory decay, and traceable context retrieval.

chatbot-rag

ChatBot-RAG is a chatbot framework leveraging Retrieval-Augmented Generation (RAG) to deliver context-aware responses. It integrates LangChain for advanced pipelines and supports local model hosting via Ollama for enhanced privacy and customization.

extractor-api-lib

Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.

nancy-brain

Nancy's RAG backend and HTTP API/MCP server connectors.

markmem

A memory layer for chatbots that stores memory as plain markdown in a git repo

rag-core-lib

Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.

iflow-mcp-rubenszimbres-a2a-adk-mcp

Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP

keovil

Private Query Interface for Documents & Structured Data

rag-core-api

Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.

django-hawkeye

Django BM25 full-text search using PostgreSQL - a lightweight Elasticsearch alternative

ragora-sdk

Ragora python sdk

tinyrag

TinyRag is a minimal Python library for retrieval-augmented generation. It offers easy document ingestion, automatic text extraction, embedding generation, and retrieval with vector stores. Designed for quick setup and flexible provider configuration, TinyRag enables fast, contextual responses from language models.

mzero-rag

mzero is a zero-configuration Retrieval-Augmented Generation (RAG) framework and embeddable Python SDK. It abstracts document ingestion, domain-aware chunking, dynamic vector store routing, hybrid dense/sparse search, cross-encoder reranking, conversation state management, and hallucination verification behind a minimal single-line interface.

mkdocs-chatbot

AI-powered chatbot for MkDocs — chat with your docs and get instant answers