GPT 3.5 Turbo LLM and MongoDB Atlas Vector Search for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
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Updated
Jun 3, 2024 - Jupyter Notebook
GPT 3.5 Turbo LLM and MongoDB Atlas Vector Search for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
Campus 360 is an AI-powered chatbot designed to assist students, faculty, and visitors at the Model Institute of Engineering & Technology (MIET).
Detailed description given in the README
Detailed description given in the README
Detailed description given in the README
Chat with any website using Python and Langchain
Harness the power of Retrieval-Augmented Generation with the Personal AI Assistant, an innovative tool designed to extract and synthesize information from web and PDF sources efficiently. This cutting-edge solution transforms complex data into concise, actionable insights, making it indispensable for researchers and professionals alike.
A lightweight, unobtrusive R companion for some common NLP & web scraping tasks.
A RAG chatbot which enables user to chat with their pdf documents
Nodejs a REST API is designed to provide users with an interactive chat interface where they can ask questions and receive responses generated by an AI model. The application utilizes OpenAI embeddings and Langchain to process the user's input and generate relevant responses based on the context of the conversation.
Make multiple Collections on Qdrant with Langchain & Openai
AI Github assistant for your repo. Your proactive GitHub bot that auto-detects duplicates using OpenAI embeddings and Supabase magic!
Personal Project | A personal and private recommendation engine for the internet
Forecasting Private Capital Market using published research and patents. Project developed at Michigan State University under the guidance of Dr. Mohammed Ghassemi for JP Morgan Chase.
openai-whisper-talk is a sample voice conversation application powered by OpenAI technologies such as Whisper, Completions, Embeddings, and the latest Text-to-Speech. The application is built using Nuxt, a Javascript framework based on Vue.js.
Learning NextJs 14 with app router. Messing with proper server/client component architecture, Next API routes, Next streaming, Next cache beta, retrieval augmented generation with OpenAI embeddings API, PineconeDB to store context/query embeddings, and chatbot with OpenAI prompt.
Automate your customer support using Retrieval Augmented Generation (RAG): OpenAI + Pinecone
Node Proxima converts your repo into embeddings using OpenAI.
Add a description, image, and links to the openai-embeddings topic page so that developers can more easily learn about it.
To associate your repository with the openai-embeddings topic, visit your repo's landing page and select "manage topics."