Semestrální práce z předmětu Information Retrieval
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.
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.
Stichwortfinder für Texte in Dokumenten eines Ordners / Keyword Finder for Texts in Documents of a Directory (for English, see README-en.md)
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
Website in PHP to index all pdf content and easy way to find any text
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
Retrieval-Augmented Question Answering system for complex insurance documents using Ollama, LangChain, and ChromaDB. Designed for scalable, intuitive document navigation and decision support.
An interactive GPT-style web application that lets you query folders of PDFs using open-source LLMs from Meta, Microsoft, Google, Mistral, and more.
AI-powered finance policy chatbot with English/Bahasa Malaysia support for hospital employees
RAG powered multimodal Q&A application.
📄 Empower document management with this FastAPI service that uploads, searches, and summarizes text documents using advanced NLP techniques.
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