ask-docs

This Streamlit application, equipped with memory functionality, leverages a Large Language Model (LLM) for efficient document-based queries. Users can upload files, ask questions, receive answers, and track embedding costs while retaining a history of interactions.

Features

• Upload PDF, DOCX or TXT documents
• Efficient Chunking
• Powerful Embeddings
• Quick Retrieval
• Ask Questions Naturally
• Get Relevant Passages
• LLM Answers & Analytics

Local Setup

To Run this project

pip install -r requirements.txt

streamlit run app.py

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

OPENAI_API_KEY

PINECONE_API_KEY

PINECONE_ENV

ask-docs