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This project focuses on building a conversational agent that allows users to interact with PDF documents using natural language. By leveraging LangChain for orchestrating conversations and OpenAI's LLMs (Large Language Models), the system enables intelligent querying and summarization of PDF content.

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himalayaashish/ChatWithYourData

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Hello World! wave

🚀 Welcome to my git repo :ChatWithYourData:

ChatWithYourData

Lumbar Detection

Chat with Your PDF Using LangChain and OpenAI

This project focuses on building a conversational agent that allows users to interact with PDF documents using natural language. By leveraging LangChain for orchestrating conversations and OpenAI's LLMs (Large Language Models), the system enables intelligent querying and summarization of PDF content.
I utilized advanced language model techniques, integrating LLMs with LangChain to handle document processing, context management, and conversational flow. The model is optimized to extract relevant information and respond to user queries in real time, making document analysis more interactive and efficient.
This project demonstrates how combining cutting-edge NLP techniques with user-friendly interfaces can transform document interactions.

Languages and Tools

Languages

Python: Langchain PyPdf HuggingFace Llama ChromaDB Python Keras Tensorflow PyTorch

JavaScript: JavaScript HTML5 CSS3 Bootstrap

SQL: SQL MySQL PostgreSQL

Tools

Software Development: Pycharm IDE IntelliJ IDEA Docker Jenkins XML JSON Vim

SDLC: Agile Scrum Kanban

Software Engineering: Jira Travis

Version Control: Bitbucket Git GitHub


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Pramod's LinkedIn     Gumalaya's Kaggle     Pramod's Twitter     Himalaya's Twitter

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This project focuses on building a conversational agent that allows users to interact with PDF documents using natural language. By leveraging LangChain for orchestrating conversations and OpenAI's LLMs (Large Language Models), the system enables intelligent querying and summarization of PDF content.

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