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awesome-local-llm
A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally
★ 2,9 mil estrelasMIT
Ver o guia →docuchat.app é um projeto de RAG e conhecimento de código aberto de janderswag (janderswag/docuchat.app no GitHub). Tem 35 estrelas no GitHub e 1 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 22 de julho de 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.
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Chat with PDFs and see exactly where each answer was found.
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Free rag & knowledge tool that enterprise-ready vector database toolkit for building s.
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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
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.