Google Cloud’s Vertex AI provides an end-to-end platform for training, fine-tuning, and deploying machine learning and Generative AI models. With the integration of Gemini 1.5 Pro and Flash APIs, engineers can build production RAG (Retrieval-Augmented Generation) applications in record time.
Building a RAG Pipeline with Vertex AI Vector Search
1. Store source PDF/HTML documents in Cloud Storage.
2. Generate 768-dimensional text embeddings using the text-embedding-004 model.
3. Deploy the embeddings to a Vertex AI Vector Search index endpoint.
4. Query Gemini 1.5 Pro using the retrieved context for accurate, grounded responses.