PDF To Chat: Chat with your PDF Documents on the Web For FREE!

PDF To Chat: Chat with your PDF Documents on the Web For FREE!

Introduction

Today, I introduce a new chat bot application called "PDF to Chat." This versatile application allows you to chat with your PDF files in seconds. It’s powered by Together AI and Pinecone and is completely open-source and free. You can extend its capabilities further. Listen to what the main developer had to say about this fantastic new application.

Overview

I built a site called PDF to Chat that allows you to chat with any PDF. You log in, upload a PDF, and start a conversation with it. For example, I uploaded Fahrenheit 451 and asked intelligent questions like, "Why does Faber consider himself a coward?" It inferred the answer from the text and even showed the pages from which it derived the information.

Community & Benefits

We have a growing community on Patreon, offering resources, collaboration, networking opportunities, and more. By joining, you gain access to private Discord channels, subscriptions, and other features.

Unique Features

PDF to Chat is not just another PDF conversational bot. It offers intricate capabilities, better reasoning, and understanding in its responses, setting it apart from other chat bots. Throughout this article, we will explore how you can get started and make the most out of this tool.

Getting Started

1. Create an Account:

   • Visit the website and click "Get Started."
   • Log in using your Google account or create a new one with your email.

2. Upload a PDF:

   • Select and upload your PDF file.
   • The system ingests the PDF content, making it ready for interaction.

   For example, I uploaded a research paper on AGI titled Sparks of Artificial General Intelligence: Early Experiments with GPT-4. This paper has 155 pages, and I ingested it without issues. Once uploaded, you can start chatting with it.

Example Interaction

I interacted with the AGI paper, asking, "What is the main purpose of this research paper?" PDF to Chat sourced the content quickly and provided an accurate summary of the research's primary objectives.

Future Features

As a newly released application, PDF to Chat is actively being developed. Upcoming features include:

1. Best Practices for Chunking: Enhancing performance in data handling and retrieval.
2. Incorporating ELK Stack (Elasticsearch, Logstash, Kibana): Increasing observability.
3. Auto-scrolling: For improved user experience.
4. Prompting Methods: Implementation from sources like Perplexity.
5. Analytics & Session Tracking: For better understanding and behavior analysis.

Deployment

If you wish to run this application locally, you would need:

• Together AI: For inference.
• Pinecone: For vector database and PDF storage.
• Clerk: For authentication.
• Vercel: For hosting.
• Postgres: For database.

After cloning the repository, you’ll find an .env file that lists all required environment variables for local hosting. You can also access PDF to Chat on your phone for greater convenience.

Conclusion

To sum up, PDF to Chat is an innovative tool for easily sourcing and understanding information from PDFs. It’s fully open-source and free, making it highly accessible. Get started today and experience the benefits yourself.

For more information, visit our website or check out the Patreon page.

Keywords

• PDF to Chat
• Together AI
• Pinecone
• Conversational AI
• Open-source
• PDF interaction
• Inference speed

FAQ

Q1: What is PDF to Chat? A1: PDF to Chat is an open-source application that allows users to interact conversationally with their PDF documents.

Q2: How does PDF to Chat work? A2: You upload a PDF file, and the application uses Together AI and Pinecone to provide quick and accurate responses to any questions you have about the PDF content.

Q3: Is PDF to Chat free to use? A3: Yes, it is completely free and open-source.

Q4: Can I use PDF to Chat on my phone? A4: Yes, you can access and use PDF to Chat on your phone for convenience.

Q5: What are the future features of PDF to Chat? A5: Future features include practices for chunking, incorporating ELK stack for observability, auto-scrolling, new prompting methods, and enhanced analytics and session tracking.