A new open-source tool uses neural embeddings to index 1.29 million code entities across more than 2,500 MediaWiki ...

Hybrid search combines lexical matching with vector similarity so retrieval can respect exact terms while recognizing semantic equivalents. This guide explains the mechanism, trade-offs, evaluation, ...

Conversion rates for traffic via AI search have reversedAccording to a survey conducted by Adobe Analytics in Q1 2026 ...

Unblocked co-founder Peter Werry argues that semantic search solves only half of AI retrieval. For questions like "PRs I merged last week," ...

Unblocked's Peter Werry argues that the retrieval layer most AI agents rely on — semantic RAG over documents and code — handles only half the ...

LLMs will write your code and break your budget. Take advantage of model routing, semantic caching, prompt caching, reranking ...

Google DeepMind ( GOOGL) on Tuesday launched EmbeddingGemma 2, an open-weight artificial intelligence model designed to search and organize text, images, video, and audio directly on devices.

Databricks on September 28, 2026, introduced Lakebase Search, a built-in search engine for its Lakebase Postgres database delivered through two extensions: lakebasevector for approximate nearest ...

Search and data APIs are adopting Markdown output for LLMs, cutting token costs by up to 90% and aligning with how models are trained and prompted.

Google is rolling out a new Search Console performance report filter for the web results named Multimodal. Some may see it now, when you select the Search type filter in the performance report, under ...

WIRED rebuilt Flock’s latest search tool from code the company sends to a police officer’s browser. Its AI can keep watch across multiple cameras for anyone fitting a written description. Among the ...