Doc Automation – POC Maker

Chat with your PDFs and automate document workflows using AWS Bedrock (Claude + Titan), LangChain, FAISS, and Streamlit.
This project extracts knowledge from documents, stores embeddings, and enables interactive Q&A or structured document generation — making it ideal for document automation and Proof of Concept (POC) creation.

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🚀 Features

• 📄 PDF ingestion: Upload and process multiple PDFs.
• 🧩 Chunking & embeddings: Split documents into chunks and embed them with Amazon Titan.
• 📚 Vector storage: Store embeddings locally using FAISS for fast retrieval.
• 🤖 Conversational AI: Query documents with Claude (via Bedrock) using LangChain’s RetrievalQA.
• 🎛 Streamlit UI: Simple web interface to manage vector updates and ask questions.
• ⚡ Automation-ready: Extendable for structured outputs like meeting minutes, POCs, or summaries.

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🛠️ Tech Stack

• AWS Bedrock – Claude 3 Sonnet & Titan Embeddings
• LangChain – document loaders, embeddings, RetrievalQA
• FAISS – vector store for similarity search
• Streamlit – interactive frontend

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📂 Project Structure

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⚙️ Setup & Installation

1. Clone the repo

   git clone https://github.com/<your-username>/doc-automation-poc-maker.git
   cd doc-automation-poc-maker

python -m venv venv source venv/bin/activate # (Linux/Mac) venv\Scripts\activate # (Windows)

pip install -r requirements.txt aws configure streamlit run app.py