Advanced RAG Engine — Advanced RAG & Migration

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Advanced RAG Engine

⚙️ Advanced RAG & Migration 15m 300 BASE XP⌨ HANDS-ON LAB

Serverless RAG & Cross Corpus

The Vertex AI RAG Engine has been upgraded in 2026 to support Serverless RAG Mode (public preview) - a fully managed database for RAG that entirely eliminates the need to provision and manage vector databases like Pinecone or Vertex Vector Search manually.

Cross Corpus Retrieval

RAG Cross-Corpus Retrieval (public preview): The new AsyncRetrieveContexts API allows a single generative agent to retrieve from multiple corpora simultaneously. For example, an agent can retrieve technical specs from a codebase corpus and pricing data from a PDF corpus in a single operation.

Vector Search 2.0 (GA)

Vector Search 2.0 is now generally available, unifying data and vectors with auto-embeddings. It supports hybrid search combining vector, full-text, and semantic re-ranking in a single query - dramatically simplifying retrieval architectures.

Schema-based Metadata Search

You can now enforce strict schema validations on document metadata, allowing agents to filter vector searches using powerful SQL-like conditions before the semantic search even runs.

⌨ HANDS-ON LABQuery Vector Search Index with Filter Restriction
⭐ +150 XP

Perform a vector similarity nearest-neighbor lookup on Vertex Vector Search with boolean metadata filtering.

1Call findNeighbors on the Vertex Vector Search index endpoint.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 1 — type "hint" if stuck
SYNAPSE VERIFICATION
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What is the primary benefit of Serverless RAG Mode in Vertex AI?
It runs locally on your laptop
It eliminates the need to manually provision and manage a vector database
It generates images from text
It uses an SQL database instead of vectors