RAG & Knowledge
KnowNote
A local-first AI knowledge base and NotebookLM replacement built with Electron.
★ 1.2k starsGPL-3.0
View guide →LibreAI / RAG & Knowledge / trove-ai
// rag · weaiw/trove-ai
trove-ai
trove-ai is an open-source rag & knowledge project by weaiw (weaiw/trove-ai on GitHub). It has 184 GitHub stars and 32 forks, is released under the NOASSERTION license, and was last updated on GitHub on 23 August 2026.
Read-later + AI knowledge base for the Chinese internet
💎 Hidden gem★ 184 stars⑂ 32 forksNOASSERTIONupdated 2026-08
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- weaiw/trove-ai
- GitHub stars
- 184
- Forks
- 32
- License
- NOASSERTION
- Last updated on GitHub
- 23 August 2026
- Category
- RAG & Knowledge
- Listing
- Hidden gem — a shorter page for a lesser-known project
- Official site
- GitHub
// how it works
How it works
- Get the code
Clone weaiw/trove-ai and move into the project folder.
- Install dependencies
Install the Python requirements with pip — a virtual environment keeps things clean.
- Add your documents
Load the PDFs, notes, or pages you want to query.
- Ask questions
Query the knowledge base and check the cited sources.
// features
Why people love it
AI
Built around artificial intelligence from the ground up.
Chinese
Chinese-language content support.
Fastapi
FastAPI backend — quick to deploy and extend.
Knowledge Base
Turns your documents into a searchable knowledge base.
Next.js
Next.js web app — fast, modern frontend.
Obsidian
Integrates with your Obsidian vault.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/weaiw/trove-ai.git cd trove-ai - Step 2 — Install dependencies
Set up what the project needs to run.
pip install -r requirements.txt - Step 3 — Run it
Start the app — the README has the exact command and flags.
python main.py # entrypoint varies — check the README
// use cases
What you can build
- Prototype RAG pipelines before production.
- Keep team docs queryable by everyone.
- Index a codebase for semantic search.
- Turn your documents into a searchable AI knowledge base.
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// faq
Questions, answered
What license is it under?
No license was asserted in the metadata — check the repo before using it.
How hard is it to install?
Clone the repo and pip-install the requirements — the README covers the exact steps.
Where do I get help?
The GitHub repo's issues and discussions are the main support channel.
Is the project still maintained?
Last pushed 2026-08-23 with 32 forks. Skim recent commits to gauge momentum before relying on it.
Can I contribute?
Yes — it is open source, so issues and pull requests are welcome.
// keep exploring
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View guide →// alternatives
Alternatives in RAG & Knowledge
The most-starred other RAG & Knowledge projects in the LibreAI catalogue — the realistic shortlist if trove-ai is not the right fit.
- MarkItDown★ 193.5k
MarkItDown — Microsoft tool that converts PDFs, Office files, images and more to clean Markdown for LLMs, MIT
- Dify★ 157.8k
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
- ragflow★ 91.6k
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- PaddleOCR★ 90.8k
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
- MinerU★ 82.5k
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
// more in rag
More in RAG & Knowledge
Nearby RAG & Knowledge projects in the catalogue, closest in stars to trove-ai — keep exploring the shelf either side of it.
- Starcat★ 184
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- uxie★ 197
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- docsmint★ 118
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- vexor★ 242
Semantic search engine designed for files and code.
- backstage-plugin-qeta★ 116
Internal Q&A and knowledge base for Backstage.
Get trove-ai
Free and open — grab the source, star the repo, and start creating.