Klea RAG
Klea is a suite of AI tools for Neuroscience.
This package provides a generic RAG (Retrieval Augmented Generation) pipeline with multi-domain support. It implements a LangChain/LangGraph state machine for answering queries over your own documents. Features:
- multi-domain support with automatic query classification
- vector store retrieval from Chroma, Qdrant, and PGVector backends
- answer evaluation with iterative improvement loops
- MCP tool integration for live data access
- FastAPI server, CLI client, and NiceGUI/Streamlit web UIs
Documentation: https://neuroklea.org
Metadata
Release files for klea-rag 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| klea_rag-0.5.0.tar.gz | 53.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| klea_rag-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 106.1 kB
Release files / klea_rag-0.5.0.tar.gz
| Download URL | klea_rag-0.5.0.tar.gz |
|---|---|
| Size | 53.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
db66134d1650eff37ac1b0981a02088316acc537ac702dcae40e327f3d0266c5
|
|
BLAKE2b-256 checksum How to use checksums |
ca65c2b210dd25f535e5200e9d5902132ff10b429c0504d952ee02828ec20c45
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 9, 2026.
Transparency logRelease files / klea_rag-0.5.0-py3-none-any.whl
| Download URL | klea_rag-0.5.0-py3-none-any.whl |
|---|---|
| Size | 53.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f066b4d97f65ea5bee506685933c4f3195acc61ce1d4973b7f0bfa545c7c0d72
|
|
BLAKE2b-256 checksum How to use checksums |
9901a605f44c2ab4c7f48c864c9d35bd9bccada62386c85604ddf033b2168a33
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 9, 2026.
Transparency log
