Leveraging LLM to build Conversational UIs
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Updated
Feb 18, 2025 - TypeScript
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Leveraging LLM to build Conversational UIs
x0-GPT is an advanced AI-powered tool that enables you to interact seamlessly with any website or document (including PDFs) using natural language. Whether you're looking to extract specific data, automate tasks, or gain insights, x0-GPT makes it possible with ease. Best of all, it's free and accessible to everyone.
A Dockerized Streamlit app leveraging a RAG LLM with FAISS to offer answers from uploaded markdown files, deployed on GCP Cloud.
Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python
My low-key LLM-friendly wrapper for search engines
This python powered AI based RAG Scraper allows you to ask question based on PDF/URL provided to the software using local Ollama powered LLMs
This repository contains the implementation of a Retrieval-Augmented Generation (RAG) agent using Large Language Models (LLMs). RAG agents combine the power of information retrieval with text generation, enabling applications such as intelligent question-answering systems, and more.
RAG-LLM enables interactive question answering leveraging RAG architecture and Large Language Models (LLMs) applied to custom dataset regarding Medium articles.
Agentic RAG for journalling
Ce projet est un logiciel de Retrieval-Augmented Generation (RAG) développé en Node.js avec LangChain et Ollama.
A repo for my MS Project titled "Fake-news detection".
Efficient Serving of Large-scale Vector Search with Sharded Indexes
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