LumenRAG
LumenRAG is a local-first RAG studio powered by LumenVec. It provides document ingestion, vector retrieval, source-aware chat, and evaluation in a lightweight web interface.
Install
python -m pip install --upgrade lumenrag
lumenrag start
The platform wheels include the matching LumenVec engine for Windows, Linux,
and macOS. Configure OPENAI_API_KEY or choose another provider in the Studio.
Common configuration
OPENAI_API_KEY=your-api-key
RAG_CHAT_MODEL=gpt-4.1-mini
RAG_EMBED_MODEL=text-embedding-3-small
RAG_EMBED_DIMENSIONS=256
LUMENVEC_BASE_URL=http://localhost:19190
Keep embedding dimensions consistent with an existing collection. See the full documentation at https://brma-tech.github.io/lumenrag/ and the source repository at https://github.com/brma-tech/lumenrag.
License
LumenRAG is released under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for lumenrag 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| lumenrag-0.1.7-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| lumenrag-0.1.7-py3-none-manylinux_2_17_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details |
| lumenrag-0.1.7-py3-none-manylinux_2_17_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details |
| lumenrag-0.1.7-py3-none-macosx_11_0_x86_64.whl | Python 3 | none | macOS 11.0+ x86-64 | Details |
| lumenrag-0.1.7-py3-none-macosx_11_0_arm64.whl | Python 3 | none | macOS 11.0+ ARM64 | Details |
Total release size: 59.8 MB
Release files / lumenrag-0.1.7-py3-none-win_amd64.whl
| Download URL | lumenrag-0.1.7-py3-none-win_amd64.whl |
|---|---|
| Size | 12.3 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
63631b9dcead6d79702aa28983e031a0719e80bde93db1179cb26f884c6d2624
|
|
BLAKE2b-256 checksum How to use checksums |
b909d33b668082322e27b933cf67bf23f47f917ff57768945cdc698d7f31bea1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / lumenrag-0.1.7-py3-none-manylinux_2_17_x86_64.whl
| Download URL | lumenrag-0.1.7-py3-none-manylinux_2_17_x86_64.whl |
|---|---|
| Size | 12.1 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
122f9c782f38e06fc6c1bbee33763eecd3d2e7f22597f93071f095b464ab025a
|
|
BLAKE2b-256 checksum How to use checksums |
3df59022d0cb058bdaccf46835c1cafa21080f7f4af117470a61bc1ec17c9910
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / lumenrag-0.1.7-py3-none-manylinux_2_17_aarch64.whl
| Download URL | lumenrag-0.1.7-py3-none-manylinux_2_17_aarch64.whl |
|---|---|
| Size | 11.1 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
909ab3703fa278d7c3033e631b5f767468179fe737f95ea100cb0342d2789500
|
|
BLAKE2b-256 checksum How to use checksums |
9e87e32afefcd33af8a473c2473a64e90de011bcc124a4c9694a62202880f96e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / lumenrag-0.1.7-py3-none-macosx_11_0_x86_64.whl
| Download URL | lumenrag-0.1.7-py3-none-macosx_11_0_x86_64.whl |
|---|---|
| Size | 12.5 MB |
| Tags | Python 3 macOS 11.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
500a84cee2b2bb3ace18983b4bca625c58b7a3401d6ca163af5206d0322a5cd8
|
|
BLAKE2b-256 checksum How to use checksums |
e06d887ed86a54b52938284756521d9b3f99f1d51546bebf4f0d6fe1b3b1c642
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / lumenrag-0.1.7-py3-none-macosx_11_0_arm64.whl
| Download URL | lumenrag-0.1.7-py3-none-macosx_11_0_arm64.whl |
|---|---|
| Size | 11.8 MB |
| Tags | Python 3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
497ec7df405ef010fb522ddfefac736f35313c7184d94faa59d77427dda475f5
|
|
BLAKE2b-256 checksum How to use checksums |
64d35fc2d574e2a55cf48f1d8b73799ec49301c5e46073a0abc5f89466787a45
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Security for lumenrag 0.1.7
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
