llm-tools-rag
A tool plugin for LLM that allows you to search over your embedding collections.
Installation
Install this plugin in the same environment as LLM:
llm install llm-tools-rag
Usage
Use -T RAG to enable the RAG tools. You can specify a non-default database with -T RAG("other_db.db").
llm -m claude-4-sonnet -T RAGTools "what are the available plugin hooks in llm?"
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-tools-rag
python -m venv venv
source venv/bin/activate
Install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
Dependencies
- llm: The LLM CLI tool this plugin extends
- sqlite-utils: For querying LLM's sqlite databases
Metadata
Release files for llm-tools-rag 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llm_tools_rag-0.1.1.tar.gz | 3.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_tools_rag-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / llm_tools_rag-0.1.1.tar.gz
| Download URL | llm_tools_rag-0.1.1.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / llm_tools_rag-0.1.1-py3-none-any.whl
| Download URL | llm_tools_rag-0.1.1-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
4cc8d801991598c729eecf6a9f35d895836ed97d665185e3666f8c0e1f5e83a0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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.
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 Oct 22, 2025.
Transparency log