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Deploy a RAG App with FastAPI & Uvicorn | Step 1: From Python Script to API

Crisp ML

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Deploy a RAG App with FastAPI & Uvicorn | Step 1: From Python Script to API

51 просмотр · 13 дней назад
Crisp ML
23 подписчика
51 просмотр · 13 дней назад
Here we start implementing the code for deploying our Demo RAG Application over the Web. The first part is to Modularize our code to seperate the components into Indexing, Main, RAG, Retrieval, Vector DB and Config Files Add the FAST API code to build a Web Server and connect it to our code components. Add Swagger UI for building the User Input Forms Run Uvicorn based server to listen to appropriate port and route requests back and forth between User and our Code. Here the code is tested on Desktop First. This is the 3rd part in the series for RAG App. For detailed discussion on the RAG Algorithm tested on Desktop and Web Deployment Architecture Discussion, please watch the earlier video in the series here:    • RAG Demo (Dev + Deploy)   All the best!!