Chat with PDF locally: An advanced chatbot using Ollama / Sambanova LLMs to interactively extract information from PDFs, Using Streamlit & Ollama / Sambanova API and langchain
-
Updated
May 17, 2025 - Python
8000
Chat with PDF locally: An advanced chatbot using Ollama / Sambanova LLMs to interactively extract information from PDFs, Using Streamlit & Ollama / Sambanova API and langchain
ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.
Chat with your database in natural language
Too Long, Didn't Read, Let's Chat
A ChatBot designed to assist WhatsAgenda customers in configuring their calendar. This tool streamlines the setup of scheduling, managing appointments, and customizing service hours, ensuring an efficient and user-friendly experience.
Transform your resume with AI-powered analysis and optimization. Get instant feedback leveraging multiple state-of-the-art language models.
AI destekli PDF sorgulama aracı. Ollama, LM Studio ve API'lar kullanarak PDF belgelerinizden doğal dille anında bilgi edinin.
Learn to utilize large language models (LLMs) with Langchain to interact with various data types, including CSV files, PDFs, and SQL databases.
Add a description, image, and links to the chat-with-your-data topic page so that developers can more easily learn about it.
To associate your repository with the chat-with-your-data topic, visit your repo's landing page and select "manage topics."