weaviate/weaviate released v1.40.2 - eMudhra intermediate certificates security patch
Weaviate
Open-source vector database and hybrid-search platform for AI applications.
As of , AIIStack tracks Weaviate's Momentum score at 95/100, up 28.57 points.
- Headquarters
- Not disclosed
- Founded
- Founded year not disclosed
- Official website
- weaviate.io
Cohort-normalized indicators
Company scorecard
- Momentum score
- 95/100
- Change
- 28.57 pts
- Interpretation
- Current cohort score
- Innovation score
- 95/100
- Change
- 28.57 pts
- Interpretation
- Current cohort score
- Popularity score
- 66.43/100
- Change
- 0 pts
- Interpretation
- Current cohort score
Activity timeline
Material changes
weaviate/weaviate released v1.38.22 - eMudhra intermediate certificates security patch
weaviate/weaviate released v1.39.13 - eMudhra intermediate certificates security patch
weaviate/weaviate released v1.40.1 - Schema drop and recreate class Fix, Reindex vector dimensions at startup performance improvement
weaviate/weaviate released v1.39.12 - Schema drop and recreate class Fix, Reindex vector dimensions at startup performance improvement
weaviate/weaviate released v1.38.21 - Schema drop and recreate class Fix, Reindex vector dimensions at startup performance improvement
weaviate/weaviate released v1.39.11 - Queue, backup and shutdown reliability fixes, plus a zlib CVE patch
weaviate/weaviate released v1.40.0 - Alter Schema Drop Vector Index, HFresh MUVERA, RQ-4 quantization
weaviate/weaviate released v1.39.10 - LSM store and Async indexing Fixes, Configurable module settings
weaviate/weaviate released v1.38.20 - LSM store Fixes, Configurable module settings
weaviate/weaviate released v1.38.19 - Export data to Parquet format improvements
weaviate/weaviate released v1.39.8 - MMR normalize query vector Fix, Multi-tenant collections re-vectorize check on PATCH
weaviate/weaviate released v1.38.18 - MMR normalize query vector Fix, Multi-tenant collections re-vectorize check on PATCH Fix
weaviate/weaviate released v1.40.0-rc.2 - Alter Schema Drop Vector Index, HFresh MUVERA, RQ-4 quantization
weaviate/weaviate released v1.39.7 - RAFT boot-time race, async replication and batch delete Fixes
weaviate/weaviate released v1.39.6 - LSM store performance improvements, HNSW ACORN & HFresh index Fixes
weaviate/weaviate released v1.38.17 - LSM store performance improvements
Release Notes | Weaviate Documentation changed
weaviate/weaviate released v1.40.0-rc.1 - Alter Schema Drop Vector Index, HFresh MUVERA, RQ-4 quantization
weaviate/weaviate released v1.38.16 - Bug fixes and performance improvements across modules, roaringset, and index queues
weaviate/weaviate released v1.40.0-rc.0 - Alter Schema Drop Vector Index, HFresh MUVERA, RQ-4 quantization
weaviate/weaviate released v1.39.5 - Modules weaviate_module_error_total metric labels Fix
weaviate/weaviate released v1.38.15 - Contains filter performance Improevements, Modules weaviate_module_error_total metric labels Fix
weaviate/weaviate released v1.37.17 - Modules weaviate_module_error_total metric labels Fix
weaviate/weaviate released v1.39.4 - HFresh recover orphaned postings through reassign-all Fix
weaviate/weaviate released v1.39.3 - Aggregate performance improvements, Modules and GraphQL security Fixes, New generative-meta module
weaviate/weaviate released v1.37.16 - Modules and GraphQL security Fixes
weaviate/weaviate released v1.38.14 - Aggregate performance improvements, Modules and GraphQL security Fixes
Discussion intelligence
Recent Hacker News mentions
Humans& with Alexis Ross, Manya Bansal, and Niloofar Mireshghallah
For AI to work with us, it needs to understand us I am SUPER EXCITED to publish the 145th episode of the Weaviate Podcast with Alexis Ross, Manya Bansal, and Niloofar Mireshghallah from humans&! What if AI was more human? Well, we are currently on a fast track towards the opposite! AI models are huge making advances in coding, math and are jev-ing their way through classification. But they don't teach, write, or perform more human tasks as well as they could be! Persimmon is one of the most exciting releases in AI recently! It is a user model designed to predict how people respond in multi-turn conversations, including natural turn-taking and multi-person interaction. The goal is not to build a more human-sounding assistant. It is to match the distribution of human behavior, including pus…
Inspect discussionAsk HN: Who wants to be hired? (September 2026)
Location: La Center, WA Remote: Yes Willing to relocate: Yes Technologies: Python, FastAPI, Generative AI, LLMs, RAG, AI Agents, LangGraph, LangChain, LlamaIndex, MCP, LangSmith, Azure OpenAI, AWS Bedrock, Vertex AI, Pinecone, Weaviate, FAISS, pgvector, Docker, Kubernetes, AWS, Azure, GCP, PostgreSQL, Redis, Kafka, React, Next.js, TypeScript Résumé/CV: https://drive.google.com/file/d/14kqCgJxs-QWIulcaal3VkDug5_R... Email: benjaminkruger1023@gmail.com Summary: Senior AI Engineer with 9+ years of software engineering experience, specializing in Generative AI, LLM applications, RAG, and AI agents. I’ve built and deployed production AI systems using Python, FastAPI, LangGraph, LangSmith, MCP, Azure OpenAI, AWS Bedrock, and cloud-native microservices. My recent wo…
Inspect discussionAsk HN: Who wants to be hired? (September 2026)
Location: Fort Myers, FL Remote: Yes Willing to relocate: Yes Technologies: Python, FastAPI, LLMs, Generative AI, RAG, AI Agents, LangChain, LangGraph, OpenAI, Anthropic Claude, Vector Databases, Pinecone, Weaviate, pgvector, PyTorch, AWS, Azure, GCP, Docker, Terraform, React, Next.js, TypeScript, Node.js, PostgreSQL Résumé/CV: https://drive.google.com/file/d/1EEGGnk9IxTkRLF4-JgfDkESL3Oe... Email: jzachariah940@gmail.com Summary: Senior AI Engineer with 8+ years of experience building and deploying production AI and full-stack applications. Strong focus on Generative AI, LLMs, RAG, AI agents, multimodal AI, and real-time conversational systems. I have hands-on experience building production RAG pipelines, AI agents, voice AI systems, LLM applications, and sca…
Inspect discussionShow HN: Weavit UI – A Weaviate GUI for macOS, Windows and Linux
Weavit UI is a free, open-source Weaviate GUI: a cross-platform desktop client for the Weaviate vector database. Browse collections, view/edit/delete/insert objects, inspect named vectors, and run vector, keyword (BM25), and hybrid searches — then manage the instance itself
Inspect discussionAsk HN: Who is hiring? (August 2026)
Hello! I’m interested in your Senior Fullstack Engineer position. I believe my experience is a strong match: - 7 years of fullstack development, primarily with TypeScript and Node.js, - built a React frontend at Reelay for an AI voice assistant analyzing customer calls, - the product processed audio through transcription, chunking, embeddings, Weaviate retrieval, and LLM analysis to generate summaries, agreements, action items, and key questions, - developed the frontend against GraphQL APIs while also working on retrieval logic, structured LLM outputs, hallucination reduction, and latency/cost optimization, - designed high-load, real-time systems using WebSockets, Centrifugo, RabbitMQ, Redis, PostgreSQL, and ClickHouse, - comfortable taking ownership: previously led three developers…
Inspect discussionPublic discussion records are evidence of conversation, not a sentiment or product-quality verdict.
Source-backed company graph
Documented relationships
These are directed, attributable graph assertions—not inferred similarity or paid placement.
Competitive context
Weaviate alternatives and competitors to monitor
qdrant.tech
Vector database and search engine for AI applications.
- Popularity score
- 72.14/100
- Score change
- 0
pinecone.io
Managed vector database for semantic search and AI applications.
- Momentum score
- 43.57/100
- Score change
- -5.72