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RAG pipeline for climate literature using open models (Llama 3), local embeddings (FAISS), and semantic HTML chunking.

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semanticClimate/KISSKI-RAG-4-IPCC

 
 

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KISSKI RAG 4 IPCC

RAG pipeline for climate literature using open models (Llama 3), local embeddings (FAISS), and semantic HTML chunking. Built as part of my BA thesis.

Usage

See notebook header.

Make sure you have:

  • a compatible Python environment (Python 3.10+ recommended)
  • access to the KISSKI API (or replace it with a local Llama3 endpoint)
  • your input files stored in the correct directory structure an .env file

License

This code is licensed for noncommercial use only.
You may use, share, and adapt it freely for research, academic, or personal projects.
Commercial use is strictly prohibited without written permission.

See LICENSE for full terms.

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RAG pipeline for climate literature using open models (Llama 3), local embeddings (FAISS), and semantic HTML chunking.

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