rryam / LumoKit
Swift package for on-device Retrieval-Augmented Generation (RAG)
Why this job: says: rag; topics: rag, retrieval-augmented-generation, retrieval augmented
What it does
- Document Parsing. Parse PDFs, Markdown, HTML, and text files using PicoDocs
- Multiple Chunking Strategies. Sentence-based, paragraph-based, or semantic chunking with configurable overlap
- Content-Aware. Different handling for prose, code, markdown, and mixed content
- Semantic Search. Vector search powered by VecturaKit
- Async API. Built with Swift concurrency
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 131
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 3.3.0
- Released 4 months ago
- Built with
- Swift
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 13 merged
- 0 waiting
- Releases
- 12
- 7 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| HKUDS / LightRAG | 40,617 | today | MIT | No downloads |
| FlagOpen / FlagEmbedding | 12,304 | 13 days ago | MIT | No downloads |
| Andrew-Jang / RAGHub | 2,020 | 3 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Swift 100%
Topics
- rag
- retrieval-augmented-generation
- swift
- swift6
Project record
- JobRAG and search
- StatusListed
- Commits91
- Forks8
- Watching3
- Stars in 28 days0
- CreatedJan 19, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026