Weaviate
weaviate.io
Actively hiring
Databases & DBMS
Vector Search & RAG
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$50M
1 round on record
Latest round
$50M
Venture round · Apr 2023 · 3 yr ago
Team
1-10
employees, estimated range
Hiring now
3
+1 posted in 30 days
Backers
3
Battery Ventures, Index Ventures
The money's age
Long since its last round
41 months since the last round · and hiring
Momentum
13/100
hiring for its size
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Feb 21
Launched Weaviate Launches Agent Skills to Empower AI Coding Agents · The Manila Times
Jul 30, 2024
Launched Weaviate releases hot, warm, and cold storage tiers · weaviate.io
Apr 25, 2023
Raised a round Venture round $50M · led by Index Ventures · Pulse 2.0
Tractionpublic signals, read monthly
Web presence
top 0.01%
of 133.2M domains by links, Common Crawl
Hacker News stories
77
best: 44 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Apr 2023 | $50M | Index Ventures lead, Battery Ventures, NEA, Cortical, Zetta Venture Pa | Pulse 2.0 |
Backed byfrom the funds' portfolios and accelerator catalogs
Battery Ventures 
Index Ventures 
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Overview
Weaviate is an AI startup with open source at its core that develops an AI-native vector database using machine learning to derive insights from unstructured data. It serves developers and enterprises, with a team that works remotely around the world. The company is headquartered in Amsterdam, Netherlands.
News
Weaviate Makes Engram Generally Available, Giving AI Agents Production-Grade Memory
Engram turns raw agent interactions into structured, durable, permission-scoped memory served through Weaviate's vector database, available now in Weaviate Cloud including a free tier. Weaviate Weaviate Amsterdam, Netherlands, June 24, 2026 (GLOBE NEWSWIR
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Report
How to build a RAG pipeline with Weaviate and Ollama Storyblok Blog
Turn your vector database into an AI assistant. Build a local RAG pipeline with Weaviate and Ollama using hybrid search, smart chunking, and grounded answers.
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Report
Oh Memories, Where'd You Go Weaviate
Two weeks of dogfooding Engram, Weaviate's memory product, in daily Claude Code sessions. This surfaced where a dedicated memory product adds value, and the specific mechanics that prevent integration with coding assistants from working well.
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Report
Building Reliable Enterprise AI with Agentic RAG
Design architectures for building grounded, autonomous RAG agents at scale in production with StackAI and Weaviate.
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Report
Weaviate Launches Agent Skills to Empower AI Coding Agents
The new open-source repository delivers structured skills, slash commands, and production-ready cookbooks to reduce AI coding errors and speed up Weaviate-based application development.
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Report
The Limit in the Loop Weaviate
Memory isn't just a feature for AI applications-it's infrastructure. As agents scale, the limited loop of stateless interactions breaks down, and continuity becomes a systems problem that requires active maintenance.
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Report
Context Engineering - LLM Memory and Retrieval for AI Agents Weaviate
Context engineering is how AI agents manage LLM memory-selecting, retrieving, and organizing context from short-term and long-term memory to improve reliability in production.
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Report
Search Mode Benchmarking Weaviate
Learn how Search Mode compares against Hybrid Search on the BEIR, LoTTe, BRIGHT, EnronQA, and WixQA Information Retrieval benchmarks.
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Report
8-bit Rotational Quantization: How to Improve the Speed-Quality Tradeoff of Vector Search Weaviate
Get spun around by our new vector quantization algorithm that utilizes the power of random rotations to improve the speed-quality tradeoff of vector search with Weaviate.
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Exploring RAG and GraphRAG: Understanding when and how to use both Weaviate
Learn when and how to use GraphRAG and how it can improve on some search tasks
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Tech stack
Technologies named in job postings at Weaviate over the last 12 months, by layer, with the share of postings for each.
Technologies in use
9
Postings analysed
3
Stack modernity
90/100AI adopter
Cloud & platforms
AWS
Azure
GCP
AI & ML
ChatGPT
Claude
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Full Weaviate tech stack
9 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
58/100
Growing
Open positions
3
0 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Product
33% ▼
Sales
33% ▲
Early Careers
33% ▲
Activity Timeline
Added Copilot to stack
Sep 2026
Added Claude to stack
Sep 2026
Added ChatGPT to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Salesforce to stack
Sep 2026
Added HubSpot to stack
Sep 2026
Added GCP to stack
Sep 2026
Added Azure to stack
Sep 2026
Added AWS to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
Amsterdam
Netherlands
HQ
1-10 est. staff
Prinsengracht 769A, Amsterdam, 1017 JZ, NL
Jobs
≈ $140k – $295k per year (Estimated) • Remote (worldwide, UTC-5 – UTC+0 hours) • Full-Time • 8+ years exp
Weaviate
AI/ML
Embeddings
RAG
Machine Learning
Apply
Financials
Total raised
$50M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2023 | $50M | Details |