Query Expension for Better Query Embedding using LLMs
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Updated
Feb 18, 2025 - Python
Query Expension for Better Query Embedding using LLMs
A real-time news chatbot application built with modern web technologies. It delivers intelligent, AI-powered responses, supports multiple chat sessions with persistent history, and provides a responsive, user-friendly interface across devices.
A full-stack chatbot that answers queries over recent news using Retrieval-Augmented Generation (RAG).
Docs.AI RAG Chatbot is an advanced application designed to revolutionize document interactions through AI-driven capabilities.
A Node.js REST API that powers a RAG-based chatbot, handling data ingestion, vector search, and LLM-powered responses.
A complete web data Retrieval-Augmented Generation (RAG) pipeline built with TypeScript and Bun that scrapes news articles using Selenium, embeds them with Jina's cloud embeddings API, and stores semantic vectors in Qdrant vector database for fast similarity search and AI-powered applications.
Backend for a RAG-powered news chatbot providing real-time AI responses, semantic search, and news retrieval using Node.js, Socket.IO, PostgreSQL, Redis, and Qdrant.
Oh My Repos: a tool for semantic search and analysis of GitHub starred repositories.
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