Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...

Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed storage nodes. We implement consistent hashing with virtual ...

Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...

Abstract: Vector databases have emerged as the computation engine that enables us to successfully interact with vector embeddings in our applications as a result of the exponential rise of vector ...

Leading enterprises including BlueCloud and Sigma Computing will rely on Snowflake Postgres to reduce data silos and complex data pipelines for AI and analytics use cases Snowflake Horizon Catalog ...

US Immigration and Customs Enforcement is asking companies to provide information about “commercial Big Data and Ad Tech” products that would “directly support investigations activities,” according to ...

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...

SAN FRANCISCO--(BUSINESS WIRE)--ClickHouse, Inc., the company behind the world’s fastest real-time analytical database, announced a high-performance, enterprise-grade Postgres service natively ...

ClickHouse, Inc., the company behind the world’s fastest real-time analytical database, announced a high-performance, enterprise-grade Postgres service natively integrated with ClickHouse, delivering ...