Build a Complete RAG Pipeline with Gemini + FAISS in Google Colab

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Build a Complete RAG Pipeline
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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.

Citations :

Skillioma (October 28, 2026) Build a Complete RAG Pipeline with Gemini + FAISS in Google Colab. Retrieved from https://repo.skillioma.com/build-a-complete-rag-pipeline-with-gemini-faiss-in-google-colab/.
"Build a Complete RAG Pipeline with Gemini + FAISS in Google Colab." Skillioma - October 28, 2026, https://repo.skillioma.com/build-a-complete-rag-pipeline-with-gemini-faiss-in-google-colab/
"Build a Complete RAG Pipeline with Gemini + FAISS in Google Colab." Skillioma - Accessed October 28, 2026. https://repo.skillioma.com/build-a-complete-rag-pipeline-with-gemini-faiss-in-google-colab/
Skillioma October 27, 2026 Build a Complete RAG Pipeline with Gemini + FAISS in Google Colab., viewed October 28, 2026,<https://repo.skillioma.com/build-a-complete-rag-pipeline-with-gemini-faiss-in-google-colab/>
Skillioma - Build a Complete RAG Pipeline with Gemini + FAISS in Google Colab. [Internet]. [Accessed October 28, 2026]. Available from: https://repo.skillioma.com/build-a-complete-rag-pipeline-with-gemini-faiss-in-google-colab/
"Build a Complete RAG Pipeline with Gemini + FAISS in Google Colab." Skillioma [Online]. Available: https://repo.skillioma.com/build-a-complete-rag-pipeline-with-gemini-faiss-in-google-colab/. [Accessed: October 28, 2026]

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