openperplex_backend_os
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Openperplex Backend Os
Overview :
OpenPerPlex is an open-source AI search engine that leverages cutting-edge technology to provide web search functionality. It combines techniques such as semantic chunking, result reordering, Google search integration, and Groq as an inference engine, supporting the Llama 3 70B model to enhance search accuracy and efficiency.
Target Users :
The target audience includes developers and tech professionals, particularly those interested in search engine technologies, AI, and machine learning. This product is suitable for them as it provides an open-source platform that allows customization and extension of search functionality while promoting technical communication and innovation.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 55.5K
Use Cases
Developers can use OpenPerPlex to build customized search solutions.
Businesses can integrate OpenPerPlex into their products to offer smarter search services.
Researchers can leverage OpenPerPlex for semantic analysis and research on search algorithms.
Features
Utilize the Cohere and semantic-chunkers libraries for semantic chunking.
Use the JINA API to reorder search results.
Achieve Google search integration through serper.dev.
Employ Groq as the inference engine.
Support the Llama 3 70B model for improved search performance.
Provide a quick-start guide and environment variable configuration instructions.
Encourage community contributions, including issue submissions, forking the repository, and sending pull requests.
How to Use
Clone the repository locally: git clone https://github.com/YassKhazzan/openperplex_backend_os.git
Install the required Python packages: pip install -r requirements.txt
Set up environment variables by copying the .env_example file to .env and filling in your API key.
Start the OpenPerPlex server: uvicorn main:app --port 8000
Access the server at: http://localhost:8000
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