A Mini Search Engine in C++, using an inverted index and a trie.
Document searching from queries using Inverted index
A powerful **two-stage multimodal retrieval pipeline** for ComfyUI, enabling semantic image search using natural language queries or image similarity. Built on the **Qwen3-VL foundation model** from Alibaba.
A python search engine build with NLP methods for a django project
A lightweight and fast document search tool for Windows. Supports keyword search in PDF, Word, PowerPoint, and TXT files with intuitive GUI.
It is a Document Retrieval and searching system which is based on Pinecone Database, and it is based on Flask and Fast APO
Open Source Search Engine with built-in web/document crawler and an indexing method.
RAG-Chat-Assistant is a complete Retrieval-Augmented Generation (RAG) system packaged as a sleek web app. Built with a Flask backend, it enables users to drag and drop documents (PDFs, Word, TXT) and chat with an AI assistant that understands their content. It processes files by chunking and embedding them with Google Gemini models, stores embeddin
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