zylon-ai/private-gpt Alternatives

Choose if you want a lightweight, community-maintained Python RAG toolkit instead of a full API layer.

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation

Choose if you need knowledge-graph-driven retrieval with Microsoft's approach.

A modular graph-based Retrieval-Augmented Generation (RAG) system

Choose if you prefer a simple-to-use Python RAG pipeline framework.

"RAG-Anything: All-in-One RAG Framework"

Choose if you prefer a Go-based knowledge platform with integrated wiki and agents.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Choose if you need a lightweight Python library for semantic search that can also run as a service.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Choose if you need highly optimized local RAG with minimal storage footprint.

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

Choose if you need a robust, feature-rich RAG server with deep document understanding and a UI.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Choose if you need ready-to-run templates with live data synchronization for RAG and AI pipelines.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

Choose if you want modular, explicit control over pipeline components in an orchestration framework.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Choose if you need a data-centric AI assistant with UI and text-to-SQL capabilities.

open-source agentic AI data assistant for the next generation of AI + Data products.

Choose if you prefer enterprise RAG pipelines with small, specialized models.

Unified framework for building enterprise RAG pipelines with small, specialized models

Choose if you need a simpler REST API for retrieval only, but it lacks the broader Claude-compatible feature set.

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Text-to-SQL focused tool; choose if you only need SQL chat, but it is archived/stale.

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.

Context retrieval API; choose if you only need retrieval, not the broader API layer.

Open-source context retrieval layer for AI agents

End-user deep research tool; choose if you want a ready-made research app on local LLMs.

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

End-user deep research app; choose if you want a standalone research tool for private data.

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

End-user app for chatting with documents locally; an older simpler tool.

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

End-user private chat app with document support; archived and stale.

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/