Create README.md

README.md

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+---
+title: ACReSAL AI - GROQ LLAMA-3 RAG AI Bot
+emoji: 🤖
+colorFrom: green
+colorTo: blue
+sdk: gradio
+sdk_version: 3.26.0
+app_file: app.py
+pinned: false
+---
+
+## GROQ and LLAMA-3 Custom RAG Bot
+
+This application is a Retrieval-Augmented Generation (RAG) system built with a custom LLM (LLAMA-3) from GROQ. The app allows users to upload a PDF file, process it, and ask questions about the content. The system uses LangChain and Chroma for document retrieval and embedding, and Gradio for the user interface.
+
+### Features
+- Upload PDF documents
+- Process and split documents into chunks using LangChain
+- Use HuggingFace embeddings and Chroma for document search
+- Ask questions and receive concise answers based on the content of the PDF
+
+### Usage
+1. Upload a PDF file using the "Upload PDF" button.
+2. Once the PDF is processed, you can ask questions about the document's content.
+3. The bot will return answers based on the specific context provided in the PDF.
+
+### Running Locally
+
+To run the app locally, follow these steps:
+
+1. Clone the repository.
+2. Install the required dependencies using the `requirements.txt` file:
+   ```bash
+   pip install -r requirements.txt