Voice-Interactive Semantic Search Interface with Vector Databases

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43973057" target="_blank" >RIV/49777513:23520/24:43973057 - isvavai.cz</a>
Result on the web
<a href="https://svk.fav.zcu.cz/download/proceedings_svk_2024.pdf" target="_blank" >https://svk.fav.zcu.cz/download/proceedings_svk_2024.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Voice-Interactive Semantic Search Interface with Vector Databases
Original language description
Semantic searching offers significant advantages over full-text search, particularly be- cause it allows users to formulate queries in natural language without needing to know the precise indexed key phrases. By using vector databases that store and index data as high- dimensional vectors, we can search through large datasets in real-time. In this work, we present a custom web-based interface for state-of-the-art semantic search on arbitrary textual data. Additionally, we integrate our in-house speech technologies - ASR and TTS to enhance user interaction. The interface supports two modes: 1) Searching based on retrieval- augmented generation (RAG) with an LLM generating answers in a chat-like format, and 2) raw semantic matching with indexed data. In both modes, the original PDF file is shown and the exact source of the retrieved information is provided.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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