weaviate/weaviate released v1.39.3 - Aggregate performance improvements, Modules and GraphQL security Fixes, New generative-meta module
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
- Popularity score
- 66.43/100
- Change
- 0 pts
- Interpretation
- Current cohort score
- Innovation score
- 95/100
- Change
- 28.57 pts
- Interpretation
- Current cohort score
Activity timeline
Material changes
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
weaviate/weaviate released v1.38.13 - MCP stateless endpoint Fix, New generative-digitalocean module
weaviate/weaviate released v1.37.15 - LSM store and HFresh Fixes, New multi2vec-twelvelabs and generative-digitalocean modules
weaviate/weaviate released v1.39.2 - DB user API-key export/import, generative-digitalocean module, async replication & shard lifecycle fixes
Release Notes | Weaviate Documentation changed
weaviate/weaviate released v1.38.12 - Async replication performance, multi-node aggregation & backup fixes
weaviate/weaviate released v1.39.1 - Search REST endpoints, async replication & LSM performance, Backup, Geo & Usage module fixes
weaviate/weaviate released v1.38.11 - Async replication Fixes
weaviate/weaviate released v1.38.10 - Search REST endpoint improvements, Namespaces & Usage module Fixes
Release Notes | Weaviate Documentation changed
3 new attributable Hacker News discussions were observed in the last seven days.
weaviate/weaviate released v1.38.9 - Backup chunk integrity, usage module and async replication fixes
weaviate/weaviate released v1.39.0 - Namespaces, RQ4, Hybrid MMR, Alter Schema, gRPC web, Search REST API
weaviate/weaviate released v1.38.8 - Batch flat ContainsAny/ContainsAll/ContainsNone
Discussion intelligence
Recent Hacker News mentions
Ask 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 discussionAsk HN: Who wants to be hired? (August 2026)
Location: La Center, WA, USA Remote: Yes Willing to relocate: Yes Technologies: Python, FastAPI, Node.js, React, Next.js, TypeScript, LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, RAG, Agentic AI, Vector Databases (Pinecone, Weaviate, FAISS, pgvector), AWS (Bedrock, SageMaker, ECS, Lambda, EC2, S3), GCP, Docker, Kubernetes, PostgreSQL, Redis, Elasticsearch, Kafka, WebSockets, LiveKit, Deepgram, Whisper, ElevenLabs Résumé/CV: https://drive.google.com/file/d/16OnzHA6ljIFV0jh4TCLdAMgB5__... Email: benjaminkrueger1@outlook.com Summary: Senior AI Engineer with 9+ years of software engineering experience, including 5+ years building production AI applications. I've developed multimodal AI systems, RAG platforms, AI agents, real-time voice assistants, an…
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
- 37.86/100
- Score change
- 11.43