openperplex_backend_os

An open-source AI search engine offering web search capabilities.

CommonProductProgrammingSearch EngineOpen Source

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.

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.

\The target audience includes developers and tech professionals
particularly those interested in search engine technologies
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.\

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.

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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openperplex_backend_os Visit Over Time

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515580771

Bounce Rate

37.20%

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5.8

Visit Duration

00:06:42

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