RAG Pipeline Using Standard Libraries and OPEA | AI with Guy |
13Build your own RAG (Retrieval-Augmented Generation) pipeline using standard open-source tools—then swap in commercial-grade microservices at any stage using OPEA: the Open Platform for Enterprise AI.
In this demo, you’ll see how to create a flexible GenAI pipeline using LangChain and LangGraph, and then dynamically replace components (retriever, embedding, vector DB, or LLM) with production-ready services powered by OPEA’s plug-and-play architecture.
This is ideal for developers who want to:
– Build a RAG system fast using LangChain and LangGraph
– Test and compare local vs commercial GenAI components
– Future-proof pipelines by making each stage modular and replaceable
– Experiment with chaining open-source + enterprise AI tools together
Code & Docs:
https://github.com/opea-project/LangChain-OPEA
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RAG Pipeline Using Standard Libraries and OPEA | AI with Guy | Intel Software