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awesome-local-llm
A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally
★ 2,9 тыс. звёздMIT
Смотреть руководство →docuchat.app — проект с открытым исходным кодом из категории «RAG и базы знаний» от janderswag (janderswag/docuchat.app на GitHub). У него 35 звёзд на GitHub и 1 форк, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 22 июля 2026.
Private document chat for attorneys: local LLMs, verifiable citations.
One-click setup for your machine.
Parse contracts, briefs, and case files.
Query the documents in plain language.
Every answer links back to the source page.
Built to handle dense legal documents.
Open-source models run on your machine.
Verifiable answers linked to exact pages.
Designed around legal confidentiality needs.
Simple install with no server wrangling.
Free for personal and commercial use.
Download the source and move into the project folder.
git clone https://github.com/janderswag/docuchat.app.git
cd docuchat.appEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at janderswag/docuchat.app with 1 fork. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — commercial use allowed with attribution.
With verifiable page citations linking back to the source PDF.
Local open-source models via Ollama.
Yes — self-hosted and local by design for legal confidentiality.
A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally
A list of Free Software network services and web applications which can be hosted on your own servers
🌩 Self-hosted file management and sharing system, supports multiple storage providers
Complete API layer for private AI apps on local models: RAG, skills, tools, MCP and text-to-SQL
Unified framework for enterprise RAG pipelines with small, specialized models - local, private and secure.
Build Neo4j knowledge graphs from unstructured data using LLMs — then chat with your graph.
Другие проекты из категории «RAG и базы знаний» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если docuchat.app вам не подходит.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Соседние проекты из категории «RAG и базы знаний» в каталоге, ближайшие по числу звёзд к docuchat.app — продолжайте изучать полку по обе стороны от него.
Chat with PDFs and see exactly where each answer was found.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
Free rag & knowledge tool that enterprise-ready vector database toolkit for building s.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
MCP server that lets Claude and ChatGPT edit and compare PDFs.
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.