Build a Complete RAG Pipeline with Gemini + FAISS in Google Colab
Introduction to Building a RAG Pipeline
So far in this module, we’ve learned the pieces of Retrieval-Augmented Generation.
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Summary – Key Takeaways
Let’s recap.
We built a working RAG pipeline using:
- Gemini for answer generation
- embeddings for meaning search
- FAISS for retrieval
We stored documents, searched for relevant content, and generated grounded answers.
This is one of the most practical AI architectures you can build today.
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