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
Embedding Inversion via Conditional Masked Diffusion: recover original text from embedding vectors using parallel denoising. Live demo + training pipeline + technical report.
The repo provides the code for Qdrant for efficient image indexing and retrieval using models such as ColPali, ColQwen, and VDR-2B-Multi-V1, jina embeddings v4 etc enhancing multimodal search capabilities across various applications.
Self-hosted MCP server for hybrid semantic code search and repository intelligence.
A Model Context Protocol (MCP) server that provides semantic search over AWS Cloudscape Design System documentation.
A Node.js REST API that powers a RAG-based chatbot, handling data ingestion, vector search, and LLM-powered responses.
End-to-End Python implementation of Beck et al.'s (2025) economic sentiment analysis framework for constructing a high-frequency economic sentiment indicator using 1024-dimensional Jina embeddings and LLM-generated training data. Features L2-regularized classification and rigorous POOS econometric validation with DM-HAC tests for GDP forecasting.
Docs.AI RAG Chatbot is an advanced application designed to revolutionize document interactions through AI-driven capabilities.
A full-stack chatbot that answers queries over recent news using Retrieval-Augmented Generation (RAG).
Demonstration of integration of Nvidia GPUs with Elasticsearch
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 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.
A decentralized protocol for authenticating AI-generated content — blending blockchain proofs, IPFS storage, and semantic AI embeddings to establish verifiable authorship trails.
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.
🌐 Enable seamless semantic search over AWS Cloudscape documentation for AI agents and coding assistants with this efficient MCP server.
Oh My Repos: Semantic search for GitHub starred repositories.
RAG 기반 코드베이스 Q&A 봇
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