https://github.com/vansh-khaneja/chat-multiple-docs-indexify
This GitHub Repository will help you to follow up in making a RAG application to chat with multiple PDFs at a single time with Indexify as the Vector DB, DSPy as framework along with Llama 3 as the language model
https://github.com/vansh-khaneja/chat-multiple-docs-indexify
dspy indexify llama3 python rag
Last synced: 6 days ago
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This GitHub Repository will help you to follow up in making a RAG application to chat with multiple PDFs at a single time with Indexify as the Vector DB, DSPy as framework along with Llama 3 as the language model
- Host: GitHub
- URL: https://github.com/vansh-khaneja/chat-multiple-docs-indexify
- Owner: vansh-khaneja
- Created: 2024-07-04T10:54:33.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-07-21T07:13:55.000Z (10 months ago)
- Last Synced: 2025-03-14T03:43:19.174Z (2 months ago)
- Topics: dspy, indexify, llama3, python, rag
- Language: Jupyter Notebook
- Homepage: https://www.superteams.ai/blog/building-a-multi-document-rag-application-with-indexify-dspy-and-llama-3
- Size: 329 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Chat-Multiple-Docs-Indexify
This repository contains a chatbot application capable of answering questions from multiple PDF files simultaneously. The application leverages Indexify for document indexing and retrieval, DSPy for natural language processing, and Streamlit for the user interface.Read full article with detailed steps over [here](https://www.superteams.ai/blog/building-a-multi-document-rag-application-with-indexify-dspy-and-llama-3)

## Getting Started
Follow these steps to set up and run the application.## Prerequisites
Ensure you have Python installed on your system. You can download it from here.## Installation
1) Clone the repository:
```git clone https://github.com/vansh-khaneja/Chat-Multiple-Docs-Indexify.git``````cd Chat-Multiple-Docs-Indexify```
2) Indexify setup:
Refer to this article for setting up Indexify extractors
[Download Indexify Extractors](https://docs.getindexify.ai/apis/extractors/pdf/#marker-extractor)4) Install the required dependencies:
```pip install -r requirements.txt```
## Database Setup
Create the Indexify database graph by running:```python db_setup.py```
## Running the Application
Start the Streamlit application with the following command:```streamlit run main.py```
## Contact
For any questions or issues, please open an issue on this repository or contact us at [[email protected]]([email protected]).Happy coding!