LogosDB is a semantic vector database written in C/C++ that provides approximate nearest-neighbor search over embedding vectors with associated text metadata. The system includes adapters for LangChain and LlamaIndex, along with an MCP server for integration with Claude Code.
- Source Code
- https://github.com/jose-compu/logosdb[01]
- Developer
- Country of Origin
- AR
- Start Year
- 2026
- Project Types
- Hobby, Open Source
- Written in
- C++
- License
- MIT License
LogosDB is a semantic vector database written in C/C++ that provides approximate nearest-neighbor search over embedding vectors with associated text metadata. The system includes adapters for LangChain and LlamaIndex, along with an MCP server for integration with Claude Code.
Citations
3 sources- GitHub - jose-compu/logosdb: LogosDB is a fast semantic vector database for RAG written in C/C++ that provides approximate nearest-neighbor search over embedding vectors with associated text metadata. · GitHub github.com
- https://github.com/jose-compu/logosdb/commit/b133e4491414793f2d9cee015f948cc8484fc9eb github.com
- https://github.com/jose-compu/logosdb/commit/b4d56cd3fdd2edc14c9c33ec5f2a23fc4147f160 github.com
Revision #3
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