A simple Large Language Model (LLM) chatbot project, where users can upload PDF files to receive tailored responses generated directly from the document contents.
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Updated
Mar 3, 2024 - Python
A simple Large Language Model (LLM) chatbot project, where users can upload PDF files to receive tailored responses generated directly from the document contents.
The ultimate teaching planning tool for generating guided questions and answers for your students
Intent detection agent that will route irrelevant queries to a cheaper model.
Example of use llama-index in Python desktop application
RAG-LLM enables interactive question answering leveraging RAG architecture and Large Language Models (LLMs) applied to custom dataset regarding Medium articles.
This repository contains projects of LLM Agents that empowers users to efficiently construct large language model (LLM)-based agents. Whether you’re diving into the world of AI chatbots, text generation, or natural language understanding, this repo provides the tools you need. 🚀
Welcome to LLMPro – a repository dedicated to providing experiments on RAG for Variety of Data Sources and Vector DBs and Optimizations with make sure that you can scale for real-world applications.
Flask API with a Streamlit ChatBot, this project provides a dynamic interface for database interaction and AI-driven user engagement, featuring secure, Docker-deployed components and advanced GPT-3.5 integration.
LLM based cheerleader for you inside your simple, one page CV.
Life Inclusion For Everyone
Generate documentation using Hugging Face embeddings and local LLMs
Eco-impact assessment tool using the Llama-Index to process Wikipedia data for query-specific, AI-powered information retrieval and analysis
building a Semi-structured Image Retrieval using llamaindex and gemini pro
CodeChat: Enabling interaction with codebases present in GitHub repositories. Seamlessly explore, query, and discuss code with a powerful RAG pipeline, making coding intuitive and efficient
Overview and tutorials of the LlamaIndex Library
Code trying out various LLM frameworks and libraries
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