Overview
Pathway LLM App provides ready-to-deploy templates for RAG, enterprise search, and AI pipelines. Templates handle live data syncing, large document indexing, and expose APIs or example frontends for rapid integration.
Key Features
- App templates: question-answering, live document indexing, multimodal RAG, unstructured-to-SQL, and more.
- Live data synchronization: automatically index and update from file systems, Google Drive, SharePoint, S3, Kafka, and databases.
- Deployability: Docker-friendly with Streamlit and REST example frontends for demos and production integration.
- Ecosystem integrations: built on Pathway Live Data framework and integrates with usearch, Tantivy, LangChain and other tools.
Use Cases
- Enterprise knowledge search and RAG services with real-time data sync.
- Multimodal document extraction and analysis for finance, legal, or research domains.
- Fast RAG backend setup for connecting custom frontends or existing applications.
Technical Highlights
- Built on Pathway Live Data (Python with a Rust engine) for high-performance streaming and indexing.
- MIT licensed for easy adoption in enterprise and commercial projects.
- Rich examples, CI templates, and deployment scripts to accelerate production readiness.