Weaviate Headlines

TechBullion

Weaviate launches Engram, a managed memory service for AI agents, enabling asynchronous memory extraction and retrieval.

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DEV Community

Author describes migrating from Elasticsearch to Weaviate for hybrid search, detailing bottlenecks and improvements.

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DEV Community

A detailed comparison of Chroma, Qdrant, and Weaviate for RAG in 2026, including versions and trade-offs.

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ToolVitals

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.

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MarkTechPost

An in-depth analysis of nine vector databases including Chroma, covering pricing, scale, architecture, and use cases.

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Nerdbot

An in-depth article explaining why Weaviate is considered the best vector database for metadata filtering, focusing on its filter-first retrieval architecture.

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Inter Press Service News Agency

A detailed comparison article positions Weaviate as the best vector database of 2026, emphasizing its filter-first retrieval architecture and hybrid search capabilities.

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VentureBeat

VentureBeat reports on market trends showing hybrid retrieval adoption tripling, with standalone vector databases including Weaviate losing adoption share.

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RankSquire

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.

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DEV Community

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.

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Weaviate Newsletter

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.

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Weaviate

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.

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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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HPCwire

Weaviate has launched a new flexible embedding service for AI development called Weaviate Embeddings. This service combines open-source flexibility with the convenience and scalability of a managed service, offering pay-as-you-go pricing and eliminating restrictive rate limits.

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Weaviate Blog

An announcement from Weaviate Blog details: Elysia: Building an end-to-end agentic RAG app. This update provides information on recent developments from the company.

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Blocks and Files

In this piece from Blocks and Files, the topic of weaviate develops three vector database agents is explored. The article offers insights and perspectives on this subject.

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Tech.eu

Weaviate, a company specializing in AI-native vector databases and cloud services, has raised $50 million in funding. The investment is intended to support the development and expansion of its technology and cloud offerings. This funding round highlights growing interest in AI-driven data management solutions.

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