ProSearch
A powerful web search and content synthesis tool that leverages GROQ AI to provide comprehensive, context-rich answers to your queries.
Features
Advanced web searching with filtering of sponsored content Intelligent query refinement Content scraping and summarization Multi-source context synthesis
Installation
pip install pro-search
Usage
Basic usage example:
from pro_search import ProSearch
# Initialize with your GROQ API key
searcher = ProSearch(api_key="your_groq_api_key")
# Run a search query
query = "What are the latest developments in quantum computing?"
result = searcher.run(query)
print(result)
Configuration
The ProSearch class accepts the following parameters:
api_key: Your GROQ API key (required)
num_results: Number of search results to process (default: 5)
num_retries: Number of retry attempts for failed searches (default: 5)
1 maintainer
Metadata
1 maintainer
Release files for pro-search 0.2.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pro-search-0.2.3.tar.gz | 8.0 kB | Without provenance | Details for pro-search-0.2.3.tar.gz |
Release files / pro-search-0.2.3.tar.gz
| Download URL | pro-search-0.2.3.tar.gz |
|---|---|
| Size | 8.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0c678a9e75930ab4bd4bffe9822a848e6a891771054839ee2b16990f57d9d47e
|
|
BLAKE2b-256 checksum How to use checksums |
2340e147d2d4887ab5aa6951e1b56b1a9abbd8a10ecd6b0d73b65300ee0a175f
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.11.4
|
Security for pro-search 0.2.3
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