LLM App – build a realtime LLM app in 30 lines, with no vector database
Hi HN, I am Jan, CTO and co-founder of Pathway.com. We’ve built a LLM microservice that answers questions about a corpus of documents, while automatically reacting to additions of new docs. The single, self-contained service fully replaces a complex multi-system pipeline that scans in real-time for new documents, indexes them into a specialized database and queries it to generate answers. Everyone can have their own real-time vector now. Github: https://github.com/pathwaycom/llm-app Demo video: https://youtu.be/kcrJSk00duw I am eager to hear your thoughts…
In plain words
LLM App is a microservice that answers questions about document collections while automatically processing new documents as they are added. Built by Pathway, it consolidates the functionality of complex multi-system pipelines that traditionally require separate components for document scanning, indexing, and query generation. The service is designed as a single self-contained deployment that handles real-time document updates without requiring a specialized vector database, allowing developers to build LLM applications in minimal code.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, I am Jan, CTO and co-founder of Pathway.com. We’ve built a LLM microservice that answers questions about a corpus of documents, while automatically reacting to additions of new docs. The single, self-contained service fully replaces a complex multi-system pipeline that scans in real-time for new documents, indexes them into a specialized database and queries it to generate answers. Everyone can have their own real-time vector now. Github: https://github.com/pathwaycom/llm-app Demo video: https://youtu.be/kcrJSk00duw I am eager to hear your thoughts and comments!
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