DeepMindGoogleDatabricksAI EngineerCloudflareCohereMeilisearchQdrant+42

DeepMindBlog6d

EmbeddingGemma 2: an open, lightweight multimodal embedding model

GoogleBlog6d

EmbeddingGemma 2: The Developer Guide- Google Developers Blog

GoogleBlog6d

Bring multimodal semantic search to the edge with EmbeddingGemma 2- Google Developers Blog

DatabricksBlog1w

NEAREST BY Join: Scaling Vector Search in Databricks Runtime

AI EngineerYouTube1w

Agentic Search vs Vector Search for Coding Agents: We Ran the Eval — Braintrust

AI EngineerYouTube1w

Stop Renting Your AI's Memory — Dylan Couzon, Qdrant

CloudflareBlog1w

AI Search is now generally available

CohereBlog1w

Embed 5: Frontier Embedding Models for Enterprise

MeilisearchBlog1w

Full-text search vs. semantic search: A full comparison

QdrantBlog1w

Constella Preview: Swap Query Models Without Re-Embedding

DatabricksBlog2w

Lakebase Search: State-of-the-art full text and vector search for Postgres

MeilisearchBlog2w

Raptor RAG explained: A full guide to hierarchical retrieval

RedisBlog2w

Search on Flex comes to Redis Cloud Pro: same Search API, a fraction of the RAM

AI EngineerYouTube3w

Large clusters for small models — Daniel Svonava, Superlinked

WeaviateBlog3w

4-bit Rotational Quantization

QdrantBlog3w

SHIFTing Languages in Multilingual RAG

PinterestBlog4w

Evolving Pinterest’s Embedding Retrieval Platform

PinterestBlog4w

Evolving Pinterest’s Embedding Retrieval Platform

WeaviateBlog4w

HFresh: Memory-Efficient Vector Search

QdrantBlog1 Sept

Enough with the Bad Benchmarks: Tools for Production-Grade Research

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