epsilla-cloud / vectordb
A high performance Vector Database leveraging parallel graph computing
Why this job: says: vector database; topics: rag, vector-database, embeddings, vector-search
What it does
- High performance and production-scale similarity search for embedding vectors.
- Full fledged database management system with familiar database, table, and field concepts. Vector is just another field type.
- Metadata filtering.
- Hybrid search with a fusion of dense and sparse vectors.
- Built-in embedding support, with natural language in natural language out search experience.
Get started
docker pull epsilla/vectordb
docker run --pull=always -d -p 8888:8888 -v /data:/data epsilla/vectordb - Maintenance
- Inactive
- Last commit 12 months ago
- Stars
- 874
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.3.16
- Released 20 months ago
- Built with
- C++
- 97% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 59% closed
- 12 still open
- Pull requests
- 121 merged
- 6 waiting
- Releases
- 15
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- C++ 97%
- Python 1%
- Shell 1%
- CMake 1%
Topics
- ai
- infrastructure
- llms
- chatgpt
- data
- data-science
- database
- embeddings
- machine-learning
- rag
- retrieval
- vector-database
Project record
- JobRAG and search
- StatusListed
- Commits356
- Forks46
- Watching5
- Stars in 28 days+2
- CreatedJul 9, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026