A Query fan-out analyser for AI Search
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Updated
Mar 10, 2026 - TypeScript
A Query fan-out analyser for AI Search
Python notebook for solving overlapping tables problem with Azure document intelligence , semantic chunking, RAG , Azure AI Search
A movie browsing web app with GPT 3.5 AI powered search feature.🚀
This repository offers an in-depth review of these advancements, focusing on Text-based AI Search, Web Browsing Agents, Multimodal AI Search, Benchmarks, Software, and Products.
An open-source AI-powered answer engine built with Next.js, featuring intelligent search, multi-model support, and expert research mode.
Backend of multi-agent AI search system built with Flask and Groq's Llama 70B model. Combines real-time web search and academic research capabilities through a custom-built agent architecture.
อินเทอร์เน็ต
SMC-RW-AI an AI-powered solution to automate proposal writing, using advanced models like ChatGPT-4 and Azure AI Search. This enhanced efficiency, quality, and consistency, showcasing the client as a tech leader in their industry.
AI-Powered Movie Recommendation Feature
A tutorial on how to use OpenAI embeddings to create a better search for any website or application.
📝 Parse, chunk, and evaluate Markdown for RAG pipelines with token-accurate support and flexible strategies for optimal context management.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
A full-stack AI chatbot with conversation history, image understanding, and retrieval‑augmented generation (RAG) over your own documents, built with Azure Functions, React, and Azure AI, Sematic Kernel, and Azure AI Search.
Generate Automated executable SQL queries in your Database using AI profiles and search in your database using them
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