A Mini Search Engine in C++, using an inverted index and a trie.
Document searching from queries using Inverted index
Self-hosted, open-source Moorcheh - run semantic search, RAG, and document indexing on your own infrastructure with Docker.
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
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
A lightweight and fast document search tool for Windows. Supports keyword search in PDF, Word, PowerPoint, and TXT files with intuitive GUI.
A local-first natural-language Q&A engine for EU directives using on-device LLMs, hybrid search (Qdrant), and citation graphs.
Open Source Search Engine with built-in web/document crawler and an indexing method.
It is a Document Retrieval and searching system which is based on Pinecone Database, and it is based on Flask and Fast APO
Perform bulk OCR on scanned PDFs to extract text and enable keyword searching across thousands of documents.
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