#Vector Search
11 articles with this tag
Kuba Rogut: Is RAG Dead or Evolving?
Kuba Rogut of Turbopuffer discusses the evolution from RAG to agentic retrieval, highlighting its benefits and practical applications in AI development.
Claude's Corner: Captain, The RAG Infrastructure Play That's Playing Bloomberg
Captain (YC W2026) is building managed RAG-as-a-service, two API calls to connect your data sources, 95% retrieval accuracy via contextual embeddings + hybrid search + reranking, and an Odyssey data pivot that looks a lot like Bloomberg Terminal strategy. Here's the architecture, the moat, and how to build a clone.
Databricks Powers Real-Time Search
Databricks unveils its platform for building real-time product search, integrating Vector Search, Lakeflow, and Lakebase for ingestion, retrieval, and operational data.
Databricks AI Speeds Drug Discovery
Databricks unveils AiChemy, a multi-agent AI system accelerating drug discovery by integrating diverse data sources and enabling autonomous research.
Databricks' AI Play in Baseball
Databricks is arming baseball teams with AI-driven insights, transforming pitch data into strategic advantages for players and front offices.
Databricks rolls out Qwen3 embedding model
Databricks rolls out Qwen3-Embedding-0.6B, a compact, multilingual embedding model designed to boost AI agent performance and retrieval accuracy.
Databricks Unlocks Billion-Scale Vector Search
Databricks unveils a redesigned vector search capable of handling billions of vectors, drastically cutting costs and improving scalability.
Databricks Reffy: From Tribal Data to AI Answers
Databricks' Reffy uses AI and RAG to turn scattered customer stories into an instantly searchable knowledge base for sales and marketing.
ClickHouse Boosts AI Push with Real-time Analytics Database Funding
Qwak Elevates LLMOps, Launches Innovative Vector Store
