llm-jina-research
LLM plugin for comprehensive research using Jina AI's Search Foundation APIs
Installation
Install this plugin in the same environment as LLM:
llm install llm-jina-research
Set your Jina AI API key:
export JINA_API_KEY="your_api_key_here"
Get your Jina AI API key for free: https://jina.ai/?sui=apikey
Usage
Perform comprehensive research using Jina AI's APIs:
llm research "What are the latest advancements in AI safety?"
Options:
query: The research question to investigate--output: Path to save results as JSON file
Features
- 🔍 Web search with relevance filtering
- 📥 Advanced content extraction with reader API
- 🧬 Query embedding generation
- 🔬 Document reranking based on relevance
- 📊 Interactive terminal report generation
- 📄 JSON output for programmatic use
- 📝 Automatic research session logging
Example
llm research "What are the latest advancements in AI safety?" --output results.json
This will:
- Search the web for relevant information
- Extract and process content from top results
- Analyze and rank the content
- Generate an interactive report
- Save the results to a JSON file
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-jina-research
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
Contributing
Contributions to llm-jina-research are welcome! Please refer to the GitHub repository for more information on how to contribute.
License
This project is licensed under the Apache License 2.0. See the LICENSE file for details.
Metadata
Release files for llm-researcher 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| llm_researcher-0.1.0.tar.gz | 5.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_researcher-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.8 kB
Release files / llm_researcher-0.1.0.tar.gz
| Download URL | llm_researcher-0.1.0.tar.gz |
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| Size | 5.7 kB |
| Tags | Source |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.11.7
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Release files / llm_researcher-0.1.0-py3-none-any.whl
| Download URL | llm_researcher-0.1.0-py3-none-any.whl |
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| Size | 6.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.7
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