Multi-PDFs_ChatApp_AI-Agent

# Multi-PDF-s 📚ChatApp AI Agent 🤖

Meet MultiPDF Chat AI App! 🚀 Chat seamlessly with Multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB with Seamless Streamlit Deployment. Get instant, Accurate responses from Awesome Google Gemini OpenSource language Model. 📚💬 Transform your PDF experience now! 🔥✨

## 📝 Description
The Multi-PDF's Chat Agent is a Streamlit-based web application designed to facilitate interactive conversations with a chatbot. The app allows users to upload multiple PDF documents, extract text information from them, and train a chatbot using this extracted content. Users can then engage in real-time conversations with the chatbot.

## 📢Demo App with Streamlit Cloud (Visualize only)

[Launch App On Streamlit](https://multi-pdfschatappai-agent.streamlit.app/)

## 💻 Demo:
![Demo 1: Chatbot Output](img/LLMframework.jpg)

## 🎯 How It Works:
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![MultiPDF Chat App Diagram](img/Architecture.jpg)

The application follows these steps to provide responses to your questions:

1. **PDF Loading** : The app reads multiple PDF documents and extracts their text content.

2. **Text Chunking** : The extracted text is divided into smaller chunks that can be processed effectively.

3. **Language Model** : The application utilizes a language model to generate vector representations (embeddings) of the text chunks.

4. **Similarity Matching** : When you ask a question, the app compares it with the text chunks and identifies the most semantically similar ones.

5. **Response Generation** : The selected chunks are passed to the language model, which generates a response based on the relevant content of the PDFs.

![Demo 2: Chatbot Output](img/LLMApp.jpg)

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## 🎯 Key Features

- **Adaptive Chunking**: Our Sliding Window Chunking technique dynamically adjusts window size and position for RAG, balancing fine-grained and coarse-grained data access based on data complexity and context.

- **Multi-Document Conversational QA**: Supports