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Weaviate
About Weaviate
Weaviate develops an open-source vector database with built-in vectorisation modules for semantic search and retrieval-augmented generation.
People & hiring
Company scale, with the denominator visible
Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.
ApplyDjinn hiring evidence · current 30-day window
Explore these jobs →Current open roles
Change versus 2026-10-07.
Technical open roles
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
Live vacancy evidence
Technology coverage at Weaviate
Coverage always uses all 2 active roles as the denominator. Scope only changes which requirement signals count.
- Active roles
- 2
- Technologies
- 5
- Hard mentions
- 0
- Core
- 0%
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- Context
- 100%
- Nice
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Curated company stack
Company-level metadata, kept separate from live vacancy requirements.
Perks & Benefits
Company Details
Industry
AI Infrastructure / Vector Databases
Company size
100+
Headquarters
Amsterdam, Netherlands
Founded
2019
Domain
weaviate.io
Rating
—
Open roles
2
Technical roles
0 of 2
Observed hiring change
+1 roles
Hiring and market history
Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.
Vacancy history
Current role mix
0 technical · 2 other
0% of currently observed roles are technical.
2 open positions at Weaviate
Showing the latest 0 here.
Employee perspectives
Reviews of Weaviate
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Company monitor
Published about Weaviate
Official updates and independent stories that name Weaviate, with dates and source attribution. Each preview opens here first.
Persistent memory for Claude Code with Weaviate Engram
The Engram plugin gives Claude Code persistent, long-term memory, so it remembers what you've done and brings it back when it matters.
Open story →Weaviate security release - High severity fix for credential disclosure in the Google modules
Weaviate v1.39.3 fixes a high-severity credential disclosure issue in the Google modules.
Open story →Agent Memory with Engram: A Practical Guide
Learn how to use Engram effectively, from writing topic descriptions that control extraction to choosing bounded topics and scopes, selecting a retrieval mode, and placing memories in your prompt without hurting prompt-cache efficiency.
Open story →4-bit Rotational Quantization
4-bit Rotational Quantization in Weaviate 1.39: the SIMD performance work, a centered tier, scaling analysis and a TurboQuant comparison.
Open story →HFresh: Memory-Efficient Vector Search
HFresh is Weaviate's disk-based vector index for memory-efficient vector search, combining low heap usage with incremental background maintenance.
Open story →Building Foundry Part 3: From archive to creative search
Part 3: We turn a messy creative archive into a searchable library using a manifest, Weaviate, and hybrid search.
Open story →How to extract meaning from charts and tables in PDFs
PDFs full of charts and tables are notoriously hard to put through a traditional RAG pipeline. In this post, we show how late-interaction multi-vector retrieval lets you search PDFs by what the page looks like: no OCR, no chunking, no text extraction.
Open story →Weaviate 1.39 Release
Weaviate 1.39 promotes the Boost API and MMR diversity selection to GA, previews 4-bit Rotational Quantization, and ships an experimental Search REST API.
Open story →