Discover Shraga, an open-source framework designed by BigData Boutique to simplify and scale GenAI applications without the overhead of popular RAG frameworks. Shraga offers minimal boilerplate, supports multiple LLM providers, and provides reusable utilities for EDA, data cleaning, and embedding. It features modular flows for easy debugging and a FastAPI layer for quick deployments. Essential components like DocHandler and BaseEmbedder ensure efficient data ingestion and embedding, while the Shraga-UI provides a ready-to-use chat interface. This setup enables fast prototyping and production-ready GenAI systems.
Table of contents
What We Actually Needed From a FrameworkThe Evolution of a RAG Application with ShragaFlows: The Core Building BlockA FastAPI Layer That Does the Boring StuffIngestion and Embedding: Getting Quality Data InA Simple but Powerful UI: shraga-uiProject Setup OverviewSummarySort: