RAG on codebases using treesitter and LanceDB
-
Updated
Nov 17, 2024 - Python
RAG on codebases using treesitter and LanceDB
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.
AI Github assistant for your repo. Your proactive GitHub bot that auto-detects duplicates using OpenAI embeddings and Supabase magic!
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.
Use local LLMs in your browser and Node.js apps. Register at https://fxn.ai
Automate your customer support using Retrieval Augmented Generation (RAG): OpenAI + Pinecone
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.
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.
Node Proxima converts your repo into embeddings using OpenAI.
Implementing LangChain concepts and building meaningful stuffs
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.
A lightweight, unobtrusive R companion for some common NLP & web scraping tasks.
Detailed description given in the README
Mietbot is an AI RAG-powered chatbot designed to assist students, faculty, and visitors.
Make multiple Collections on Qdrant with Langchain & Openai
Langchain RAG AstraDB
GPT 3.5 Turbo LLM and MongoDB Atlas Vector Search for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
Personal Project | A personal and private recommendation engine for the internet
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."