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obsidianrag

PyPI·Infrastructure

obsidianrag is an open-source Python package that implements a Retrieval-Augmented Generation system specifically for Obsidian vaults. It leverages SQLite FTS5 for full-text search and LanceDB for vector embeddings to enable semantic querying of personal notes. The tool integrates with local LLMs such as those from Ollama and is designed for developers and power users who want to chat with their personal knowledge base.

Open SourceMITCLIAPISelf-hosted
Visit PyPI↗
113stars
17forks
4features
2024since

Overview

4 features

obsidianrag is an AI & ML project. Efficiently searching and retrieving information from large collections of Obsidian markdown notes using semantic search. It is built as an open-source project for developers and knowledge workers using Obsidian. obsidianrag is open source under the MIT license. It runs on the command line and API, and it can be self-hosted.

It is developed by Vasallo94, and it first shipped in 2024. The project is developed in the open on GitHub with 113 stars and 31 commits in the last 90 days. Key capabilities include RAG Querying, SQLite FTS5, and LanceDB Integration.

Summary written by a language model from the project’s public pages.

  • ✓RAG Querying
  • ✓SQLite FTS5
  • ✓LanceDB Integration
  • ✓Obsidian Vault Support
Tags
rag-systemobsidian-pluginlocal-llmnote-queryingvector-search
AI capabilities
Text
Inference: LocalWeights: Open

Built with & integrations

AI providers
local_oss
Runs on
CLIAPI-onlySelf-hosted

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓GitHub · ★ 113✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed3 Aug · 19:37 UTC
    obsidianrag verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about obsidianrag

What does obsidianrag do?
Efficiently searching and retrieving information from large collections of Obsidian markdown notes using semantic search. It is catalogued under AI & ML on PulseGate.
Who is obsidianrag for?
obsidianrag is an open-source project built for developers and knowledge workers using Obsidian.
Does obsidianrag have a free plan?
Yes — obsidianrag is open source under the MIT license and free to use.
What platforms does obsidianrag run on?
obsidianrag runs on the command line and API. It can also be self-hosted.
Is obsidianrag still active?
The GitHub repository shows 31 commits in the last 90 days.
What projects are similar to obsidianrag?
Similar projects tracked by PulseGate include Cliprise, chi-ai, and AI DocuChat.Cliprisechi-aiAI DocuChat
Who makes obsidianrag?
obsidianrag is developed by Vasallo94.
When did obsidianrag launch?
obsidianrag first shipped in 2024.

At a glance

Platforms
Cli
Languages
English
Open source
Yes · ★ 113
License
MIT
Built for
developers and knowledge workers using Obsidian
Model
Open source
Solves
Efficiently searching and retrieving information from large collections of Obsidian markdown notes using semantic search.

Registered as

GitHub
Vasallo94/ObsidianRAG
PyPI
obsidianrag

Developer

Vasallo94
Small team
↗ GitHub

Open source

View on GitHub →
Stars
113
Forks
17
Open issues
2
Last commit
3 Aug 2026
Commits 90d
31
Contributors
3
Authorship
Small team
Default branch
main
Latest release
plugin-v4.0.0 · 1 Aug 2026

Live coverage

Identity confidence
Low · 64
Indexed
3 Aug 2026
Lifecycle
Alive
Last seen
3 Aug 2026
Identity audit (13)
Slug
obsidianrag-pypi-org
Lifecycle state recorded
3 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
3 Aug 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
5 Aug 2026
Canonical URL
https://pypi.org/project/obsidianrag

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