A Langchain-powered retrieval-augmented-generation pipeline for comprehensive multi-modal analysis of PDFs, specifically tailored for ESG document probing.

To weave the environment for this digital alchemy, follow these incantations:

conda env create -f environment.yml conda activate pdfRAG 

If the above does not work for you, fear not. Try these alternative spells:

conda create -n "pdfRAG-env" python==3.10 conda activate pdfRAG-env pip install -U langchain openai chromadb langchain-experimental pip install "unstructured[all-docs]" pillow pydantic lxml pillow matplotlib chromadb tiktoken pip intall streamlit 

Whisper your OPENAI API-key:

• export OPENAI_API_KEY=<your-api-key-here>

To set sail, chant:

• streamlit run app.py

• Knowledge Graphs (very soon)
• Corrective Strategy (supervising LLM)
• RPN-based chunk optimization
• Reciprocal Reranking
• Multimodal OpenLLM based local engine