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, the open-source vector search engine built in Rust for production workloads, announced it has secured $50 million in Series B funding will enable composable vector search as core ...
Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...
Qdrant develops a vector search engine designed for production AI systems, enabling teams to configure retrieval, ranking, ...
Open-source vector database startup Qdrant Solutions GmbH today announced it has raised $50 million in early-stage funding to ...
Qdrant is releasing platform version 1.17.0—updating search latency, introducing relevance feedback query, and deploying greater operational observability. This release introduces a new Relevance ...
This is a complete blueprint for implementing a production-grade, multi-layer memory system for OpenClaw that provides persistent, searchable, cross-session context ...
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: Retrieval-augmented Large Models (RALMs) have emerged as a promising paradigm to enhance large language models (LLMs) by integrating external knowledge. However, the inherent complexity of ...
VittoriaDB is a high-performance, embedded vector database designed for local AI development and production deployments. Built with simplicity and performance in mind, it provides a zero-configuration ...
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