bicardinal / brinicle
A resource-efficient C++ vector index engine built for low-RAM production workloads
Why this job: topics: rag, embeddings, vector-search
What it does
- Low-RAM indexing and querying
- Streaming-first ingest. one vector, item, or suggestion at a time
- Raw vector search through VectorEngine
- Structured item search through ItemSearchEngine
Get started
pip install brinicle- Maintenance
- Active
- Last commit 41 days ago
- Stars
- 101
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.1.3
- Released 41 days ago
- Built with
- Python
- 67% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 9
- 9 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| qdrant / fastembed | 3,288 | 13 days ago | Apache-2.0 | No downloads |
| anush008 / fastembed-rs | 1,051 | yesterday | Apache-2.0 | No downloads |
| VectifyAI / PageIndex | 40,320 | 5 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 67%
- C++ 32%
- Makefile 1%
- Dockerfile <1%
Topics
- brinicle
- embeddings
- hnsw
- rag
- retrieval
- vector-search
Project record
- JobRAG and search
- StatusListed
- Commits44
- Forks5
- Watching3
- Stars in 28 days-1
- CreatedDec 22, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026