Learning Center | Rockset

Building Search, Analytics & AI Apps

Scaling Search and Analytics

Architecting applications for efficiency and scale

Search and analytics for the AI era Requirements for building at scale Lessons from scaling Facebook's online data infrastructure

Vector Search

Understanding key concepts behind vector search

Introduction to semantic search Nearest neighbor search: KNN and ANN 5 use cases for vector search 6 hard parts of vector search at scale

Elasticsearch

How Elasticsearch compares for search and analytics

Can I do SQL-style joins in Elasticsearch?Updates, inserts and deletes Streaming ingest and query performance Streaming ingest benchmark

How Rockset Works

Architecture

Under the hood with Rockset’s cloud-native architecture

Rockset concepts, design and architecture Architecture whiteboard video Compute-compute separation 20K QPS on Rockset How Rockset uses RocksDB

Converged Indexing

Converged indexing forms the basis of Rockset’s query performance

How Rockset’s Converged Index works Vector search whiteboard video Star Schema Benchmark SQL joins

Data Ingestion

Learn how Rockset supports streaming ingest

Data ingestion whiteboard video 70ms data latency at 20MB/s streaming ingest SQL-based rollups for streaming data Real-time change data capture (CDC)

Applications & Examples

Recommendation Engines

Real-world recommendation systems Recommendation engine workshop Product recommendations tech talk Home feed personalization at Whatnot

Chatbots

Personal AI assistant workshop Vector database for chatbots at JetBlue

Geospatial Search

Geospatial search workshop Geospatial queries and indexes in Rockset Real-time logistics tracking at Windward