Semestrální práce z předmětu Information Retrieval
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Updated
May 29, 2025 - Python
Semestrální práce z předmětu Information Retrieval
AI-powered hybrid search engine combining keyword, vector, and LLM-based contextual search using RAG with support for AI21, OpenAI or any other LLM.
The extended version of simhash supports fingerprint extraction of documents and images.
Chat with your PDFs using AI! This Streamlit app uses RAG, LangChain, FAISS, and OpenAI to let you ask questions and get answers with page and file references.
NoteWeb is a local-first AI tool that semantically indexes and searches your documents using LLaMA 3 and vector embeddings.
Chat with your PDF documents using Streamlit, LlamaIndex, and Qdrant. Upload, embed, and search documents with a modern UI—containerized for easy deployment.
RAG-PDF Assistant — A simple Retrieval-Augmented Generation (RAG) chatbot that answers questions using custom PDF documents. It uses HuggingFace embeddings for text representation, stores them in a Chroma vector database, and generates natural language answers with Google Gemini. In this example, the assistant is powered by a few school policy doc
A basic RAG pipeline which uses llama-3.1-8b model to answer the user query with the external knowledge stored in a vector database.
A content-based document search engine in rust.
📚 Knowledge Management System (KMS) - Document Management Based Sebuah aplikasi berbasis web untuk mengelola, menyimpan, dan mencari dokumen secara efisien menggunakan PHP murni dan MySQL.
Stichwortfinder für Texte in Dokumenten eines Ordners / Keyword Finder for Texts in Documents of a Directory (for English, see README-en.md)
Mini desktop search engine with Binary Search Tree
Slack-integrated assistant for Jira and Confluence. Word-based search across spaces — without leaving Slack. Available for exclusive buyout.
ASP.NET Core Blazor application for searching and managing JumpChain documents with Google Drive integration, community tag voting, and admin authentication
SmartRAG is a terminal-based RAG system using LangGraph. It processes queries by retrieving relevant content from markdown or PDFs, then responds using OpenAI GPT. Supports webpage-to-PDF conversion, vector DB search, and modular flow control.
Information retrieval of text document using TF-IDF weighting & Cosine Similarity Algorithm.
Open Source Search Engine with built-in web/document crawler and an indexing method.
AI-powered document search and summarisation with FastAPI and Docker
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