https://github.com/extrawest/chat_with_pdf_aws_bedrock

Chat with PDF using AWS Bedrock
https://github.com/extrawest/chat_with_pdf_aws_bedrock

ai amazon amazon-bedrock aws bedrock chatbot claude faiss faiss-vector-database llama3 pdf rag streamlit vector-database

Last synced: 2 months ago
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Chat with PDF using AWS Bedrock

• Host: GitHub
• URL: https://github.com/extrawest/chat_with_pdf_aws_bedrock
• Owner: extrawest
• License: apache-2.0
• Created: 2024-12-05T15:15:01.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-05T15:18:36.000Z (over 1 year ago)
• Last Synced: 2025-03-30T17:46:37.617Z (about 1 year ago)
• Topics: ai, amazon, amazon-bedrock, aws, bedrock, chatbot, claude, faiss, faiss-vector-database, llama3, pdf, rag, streamlit, vector-database
• Language: Python
• Homepage:
• Size: 7.81 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
#  LangChain Chat with PDF using AWS Bedrock

[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)]()

[![Maintaner](https://img.shields.io/static/v1?label=Andriy%20Gulak&message=Maintainer&color=red)](mailto:andriy.gulak@extrawest.com)

[![Ask Me Anything !](https://img.shields.io/badge/Ask%20me-anything-1abc9c.svg)](https://github.com/extrawest/chat_with_pdf_aws_bedrock/issues)

[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

## PROJECT INFO

- **Langchain Python AI Chatbot**

- Streamlit for interactive app and slick UI

- FAISS Vector Database

- Amazon Bedrock amazon.titan-embed-text-v1 model

- LLMs: anthropic.claude-v2:1 and us.meta.llama3-1-70b-instruct-v1:0 via AWS Bedrock

## Features

- Langchain AI Chatbot Agent that can process and query PDF documents

- Streamlit for interactive data fullstack apps

## Demo

[demo_app.webm](https://github.com/user-attachments/assets/7a32642d-0426-4bbe-b23f-93b876376f73)

## Installing:

**1. Clone this repo to your folder:**

```

git clone THIS REPO

```

**2. Create a virtual environment**

**3. Install the dependencies**

```

pip install -r requirements.txt

```

**3. Run the app**

```

streamlit run app.py

```

[Extrawest.com](https://www.extrawest.com), 2024