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 mor…
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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 embeddings…
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 appli…