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
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.
AI destekli PDF sorgulama aracı. Ollama, LM Studio ve API'lar kullanarak PDF belgelerinizden doğal dille anında bilgi edinin.
Transform your resume with AI-powered analysis and optimization. Get instant feedback leveraging multiple state-of-the-art language models.
Learn to utilize large language models (LLMs) with Langchain to interact with various data types, including CSV files, PDFs, and SQL databases.
A document question-answering system that allows users to upload files (PDFs, DOCs, TXTs) and ask questions about their content using RAG (Retrieval-Augmented Generation) with ChromaDB and Gemma.
chat with your data using LLMs
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."