LLMOPS 05: Unit & Integration Testing with Pytest | Hands-on Testing in LLMOPS Project
Welcome to the Complete LLMOPS Project Series!
In this End-to-End Advanced RAG Project, we’ll build a production-ready GenAI Document Chat System step by step. From setup → RAG pipeline → FastAPI integration → testing → deployment on AWS ECS (Fargate) — everything is covered.
Series Syllabus
1️⃣ Setup & Installation – UV setup, project structure, requirements, Jupyter integration
2️⃣ RAG Implementation – Core concepts, logger, config, Pydantic models, multi-doc chat, advanced RAG (token counter, memory, evals, MMR)
3️⃣ FastAPI Integration – Overview, adding APIs, testing with Swagger UI
4️⃣ UI Integration – HTML & CSS basics, connect frontend with backend
5️⃣ Testing with Pytest – Unit & integration tests, fixtures, mocking, test cases for multi-doc chat
6️⃣ Deployment (AWS ECS Fargate) – CI/CD pipeline, GitHub Actions, workflow integration, cloud deployment
LangChain – RAG pipeline
DataStax AstraDB– Vector store
Python – Backend + AI logic
FastAPI – API layer
Pytest – Testing framework
AWS ECS (Fargate) – Cloud deployment
Streamlit/HTML/CSS – UI
Project Github: https://github.com/yashprogrammer/LLMOps_series.git
Mentor Profile: https://www.linkedin.com/in/yash-patil-ux/
#AI #GenerativeAI #GenAI #LLMOPS #LangChain #LangGraph #AIagents #AgenticAI #StructuredOutput #AIautomation #RAG #AdvancedRAG #FAISS #LlamaIndex #LCEL #Python #Chatbot #OpenAI #GPT #Gemini #Google #FastAPI #AWS #CICD #AIProjects
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End-to-End-Langgraph-Project: https://github.com/sunnysavita10/doctor-appoitment-multiagent
Multimodel RAG Playlist: https://www.youtube.com/watch?v=7CXJWnHI05w&list=PLQxDHpeGU14D6dm0rmAXhdLeLYlX2zk7p&pp=gAQBiAQB
RAG detailed Playlist: https://www.youtube.com/watch?v=wTVTkOb3SZc&list=PLQxDHpeGU14Blorx3Ps1eZJ4XvKET1_vx&pp=gAQBiAQB
GenAI Foundation Playlist: https://www.youtube.com/watch?v=ajWheP8ZD70&list=PLQxDHpeGU14D7NiPgqxC9qhKkx4jMQcDk&pp=gAQBiAQB
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