DevOps

AWS Introduces Native Vector Search for DynamoDB

Amazon DynamoDB recently introduced native vector search, allowing developers to store embeddings alongside application data and run approximate nea…

How HubSpot Scaled Semantic Search to 20 Billion Vectors

SaaS software vendor HubSpot has described how its semantic search platform grew from a proof of concept into an internal service that now manages m…

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddin…

Article: Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search app…