Source
How Target is enhancing retail discovery and cutting database maintenance by 50% with Spanner Graph
Target transitioned its retail discovery infrastructure from fragmented Elasticsearch and NoSQL databases to Spanner Graph. This unified platform integrates transactional data, vector embeddings, and graph relationships to power AI-driven shopping experiences.
Why it matters
Shoppers receive more accurate product recommendations through tools like the Gift Finder chat agent. Additionally, Target's engineers can deploy new features faster due to reduced maintenance overhead.
The details
- Infrastructure maintenance decreased by 50% after consolidating database clusters.
- The platform uses a GraphRAG architecture to improve recommendation relevancy.
- Spanner's autoscaler handles traffic spikes during Black Friday and Cyber Monday events.
Show entities and relationshipsHide entities and relationships
In this article
Technologies
Key connections
Target owns Gift Finder
Target launched and operates the Gift Finder chat agent.
Target uses Spanner Graph
Target transitioned to Spanner Graph to build its enterprise ontology and Shopping Graph.
Target consolidated its discovery and transactional workloads on Spanner.
Target uses Gift Finder
Target deployed Gift Finder to assist shoppers during the holiday season.
Target uses Elasticsearch
Target previously used Elasticsearch clusters for search and inverted indexes before migrating to Spanner Graph.
Spanner Graph is related to Spanner
Spanner Graph is a native graph model feature built directly into Cloud Spanner.
Show 4 more connectionsShow fewer connections
Spanner Graph is built with GraphRAG
Spanner Graph provides the foundation for GraphRAG architectures by combining graph traversals with vector search.
Spanner Graph uses Vector Similarity Search
Spanner Graph natively supports vector similarity search alongside graph queries.
Spanner Graph uses Generative AI
Spanner Graph powers generative AI applications and agentic data enrichment.
Elastic owns Elasticsearch
Elastic develops and provides the Elasticsearch search and analytics engine.
Get the weekly recap
The stories like this one, picked and explained — once a week, straight to your inbox.