llm-app
worthwhileReal-time RAG templates with live data sync from multiple sources; solid framework but non-trivial setup.
What it is
A collection of Docker-based templates for building real-time RAG pipelines with live data synchronization from various sources (Google Drive, S3, PostgreSQL, etc.), built on the Pathway Live Data Framework.
How it differs from vanilla Claude
A vanilla agent using LangChain or raw embeddings can build a static RAG pipeline with periodic re-indexing, but Pathway's llm-app provides near-instant updates via streaming sync, built-in vector/hybrid indexes, and a unified API, reducing the need to combine multiple services (vector DB, API framework, cache). It also scales to millions of pages.
Skill, plugin, or workflow shift?
Comes with ready-to-run templates for question answering, document indexing, multimodal RAG, SQL generation, etc. Supports multiple LLM backends (OpenAI, Mistral, etc.). Requires Docker and configuration for data sources.
Devil's advocate — is this just complexity?
For many use cases, periodic re-indexing (e.g., cron job with a simple retriever) is sufficient and far simpler to maintain. The real-time sync adds operational complexity (Docker, Pathway server) that may not be justified unless you truly need sub-second updates. Vanilla agents using standard RAG libraries can achieve similar accuracy with less infrastructure. Pathway's framework also locks you into its ecosystem, making it harder to swap components.
The honest case for it
When you need live data—e.g., corporate Sharepoint docs updated continuously, real-time stock reports—a cron-based refresh is too slow and error-prone. Pathway's in-memory indexing and streaming connectors make it the only practical choice for latency-sensitive RAG in production. The templates abstract away the pipeline boilerplate, letting you focus on business logic.
Who it's for
Audience fit
Depth and leverage for a technical engineer who wants to understand it and level up their workflow — not just offload work.
Value for someone who wants a more capable tool without the technical depth — accessible, does-it-for-you.
Real-time data sync and indexing pipeline for production RAG; requires technical know-how but provides genuine value beyond simple APIs.