OoriData / OgbujiPT
Client-side toolkit for using large language models, including where self-hosted
Why this job: works in the areas we cover, but does not say which job it does
What it does
- In-memory (RAMDataDB, RAMMessageDB). Zero-setup stores perfect for testing, prototyping, and small applications. Drop-in replacements for PostgreSQL versions with identical APIs.
- PostgreSQL + pgvector. Production-ready persistent storage with advanced indexing (HNSW, IVFFlat) and full SQL capabilities.
- Qdrant. High-performance vector database with distributed capabilities.
- Dense vector search. Semantic similarity using embeddings (e.g., SentenceTransformers, OpenAI embeddings)
- Sparse retrieval. BM25 keyword-based search for exact term matching
Get started
uv pip install ogbujipt- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 115
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.10.0
- Released 11 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 26 merged
- 1 waiting
- Releases
- 19
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 100%
Topics
- ai
- gpt
- langchain
- large-language-models
- llm
- python
Project record
- JobOther AI tools
- StatusListed
- Commits607
- Forks7
- Watching6
- Stars in 28 days0
- CreatedJun 4, 2023
- First seen by usNov 7, 2026
- CheckedNov 7, 2026