Weaviate Headlines
Latest news and coverage for Weaviate
Recent Headlines
29 headlinesDEV Community
Pinecone vs Weaviate vs Milvus vs Qdrant: Which Vector DB in 2026? - DEV Community
A detailed comparison of vector databases including Weaviate, discussing features, performance, and cost.
Weaviate
Weaviate 1.38 Release | Weaviate
Weaviate releases v1.38 with HFresh vector index GA, MCP Server GA, async replication improvements, Boost API preview, and nested object filtering preview.
DEV Community
Choosing a Vector Database in 2026: pgvector vs. Pinecone vs. Qdrant vs. Weaviate vs. Milvus - DEV Community
A detailed comparison of vector databases including Weaviate, covering its strengths in hybrid search and built-in vectorization.
GlobeNewswire
Weaviate Makes Engram Generally Available, Giving AI Agents Production-Grade Memory
Weaviate announces the general availability of Engram, a managed memory and context service for AI agent applications, available in Weaviate Cloud with a free tier.
The Recycler
Ricoh backs Dutch AI startup as digital transformation strategy gathers pace - The Recycler
Ricoh invests in Weaviate through its Innovation Fund, highlighting Weaviate's AI-native vector database and exploring partnership opportunities.
The Imaging Channel
Ricoh Invests in AI-Native Vector Database Startup Weaviate through the RICOH Innovation Fund • The Imaging Channel
Ricoh announces an investment in Weaviate via the RICOH Innovation Fund, aiming to combine data capture with Weaviate's vector database for AI solutions.
Ricoh
Ricoh invests in AI-native vector database startup Weaviate through the RICOH Innovation Fund
Ricoh invests in Weaviate through its RICOH Innovation Fund to explore combining data capture with Weaviate's vector database.
GlobeNewswire
Weaviate Makes Engram Generally Available, Giving AI Agents Production-Grade Memory
Weaviate announces the general availability of Engram, a managed memory and context service for AI agent applications, available in Weaviate Cloud with a free tier.
The Manila Times
Weaviate Makes Engram Generally Available, Giving AI Agents Production-Grade Memory
Weaviate announces the general availability of Engram, a managed memory service for AI agents, via a press release distributed to The Manila Times.
BigDATAwire
Weaviate Makes Engram Generally Available, Giving AI Agents Production-Grade Memory
Weaviate announces general availability of Engram, a managed memory service for agentic applications.
The Agent Times
Weaviate Ships Engram to Replace Unstructured Agent Memory With Scope…
Weaviate announces Engram, a managed memory service that organizes AI agent memory with scopes, topics, and groups.
TechBullion
New AI Launch June 2026: Weaviate Launches Engram, A Powerful Memory Layer for AI Agents - TechBullion
Weaviate launches Engram, a managed memory service for AI agents, enabling asynchronous memory extraction and retrieval.
Digg
Engram Launches GA Memory Service For Production AI Agents
Digg reports on Weaviate's launch of Engram, a managed memory service for AI agents, aggregating social media posts.
DEV Community
From Elasticsearch Bottlenecks to Weaviate: How We Built Fast Hybrid Search in Production - DEV Community
Author describes migrating from Elasticsearch to Weaviate for hybrid search, detailing bottlenecks and improvements.
DEV Community
chroma-vs-qdrant-vs-weaviate-2026 - DEV Community
A detailed comparison of Chroma, Qdrant, and Weaviate for RAG in 2026, including versions and trade-offs.
ToolVitals
Weaviate is shipping vector database features for agent memory, not just search
ToolVitals analyzes Weaviate's recent releases, highlighting its focus on agent memory features like the MCP server, and gives it high scores for shipping velocity.
MarkTechPost
Best Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems
An in-depth analysis of nine vector databases including Chroma, covering pricing, scale, architecture, and use cases.
Nerdbot
I Was Curious Why Weaviate Is Said To Be Search Engineer's Choice For Metadata Filtering. This is What I found
An in-depth article explaining why Weaviate is considered the best vector database for metadata filtering, focusing on its filter-first retrieval architecture.
Inter Press Service News Agency
Weaviate Vs Qdrant Vs Pinecone: The Best Vector Database Of 2026 Is Also Called The Search Engineer’s Choice - Business
A detailed comparison article positions Weaviate as the best vector database of 2026, emphasizing its filter-first retrieval architecture and hybrid search capabilities.
VentureBeat
Enterprise RAG rebuild: hybrid retrieval adoption tripled in Q1 2026
VentureBeat reports on market trends showing hybrid retrieval adoption tripling, with standalone vector databases including Weaviate losing adoption share.
RankSquire
Vector Database News April 2026: Weaviate MCP Server
Weaviate v1.37 introduces a built-in MCP Server, enabling direct LLM-to-database interaction without custom integration code, along with other features like Incremental Backups and Diversity Search.
DEV Community
Vector Databases for RAG: Pinecone vs. Weaviate vs. Milvus vs. PGVector 0.8 (PostgreSQL 18)
The article compares vector databases for RAG workloads, including a dedicated analysis of Weaviate’s performance, hybrid search support, cost, and deployment tradeoffs. It positions Weaviate as a strong option for teams needing hybrid search and mid-scale vector workloads.
Weaviate Newsletter
Engram Memory Preview and AWS Shared Cloud GA
Weaviate announced a preview of Engram, its managed memory service for AI agents, along with general availability of Weaviate Shared Cloud on AWS. The post also references Weaviate 1.37 and Java client updates.
Weaviate
Weaviate 1.37 Release
Weaviate v1.37 introduces a built-in MCP Server enabling LLMs and IDEs to interact with the database natively, alongside Extensible Tokenizers, Diversity Search (MMR), and Query Profiling as previews, plus Incremental Backups and Gemini Audio Support reaching general availability.
Weaviate
Engram: Memory by Weaviate
Weaviate announces Engram, a managed memory service for AI agents built on top of the Weaviate vector database, designed to actively maintain agent memory through asynchronous pipelines that extract, reconcile, and persist memories rather than treating them as a growing pile of context.
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