Top all-time · #1459
Weaviate Blog
Company blog · weaviate.io/blogaidata
Weaviate Blog is the company blog at weaviate.io, writing about ai and data. Since 2022, 50 different Hacker News readers have linked it 135 times, most often “Weaviate – Open-Source AI Native Vector Database”. It is still writing: the last post was on 2026-10-26, and you can follow it by feed.
Rarely recommended · 0 of 40 sampled comments recommend it?
Why HN links it
HN readers link Weaviate's blog and docs on vector search topics such as late chunking, ref2vec, Muvera and benchmarks. Most comments are job posts or product mentions, often by commenters affiliated with Weaviate.
Summarised by Claude from a sample of 40 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Bring AI-native applications to life with less hallucination, data leakage, and vendor lock-in
Most-linked posts?
- Weaviate – Open-Source AI Native Vector Database7 people · 7 mentions · first linked 2023-02-06
- Late Chunking: Balancing Precision and Cost in Long Context Retrieval5 people · 5 mentions · first linked 2024-09-06
- /3 people · 11 mentions · first linked 2022-03-07
- Hybrid Vector Search Explained3 people · 3 mentions · first linked 2023-03-07
- Cohere Multilingual ML Models with Weaviate2 people · 2 mentions · first linked 2022-12-12
- Generative Feedback Loops with LLMs for Vector Databases2 people · 2 mentions · first linked 2023-05-05
- Gorilla LLM <> Weaviate – natural language commands into GraphQL2 people · 2 mentions · first linked 2023-09-11
- A Deep Dive into Weaviate's Fusion Algorithms for Hybrid Search2 people · 2 mentions · first linked 2023-08-29
- The Case for Product Engineering2 people · 2 mentions · first linked 2023-01-30
- /developers/weaviate/benchmarks/ann2 people · 2 mentions · first linked 2023-03-07
What Hacker News says?
+ Weaviate for vector based search. Has a BSD-3 license. https://weaviate.io/developers/weaviate/current/
Comment linking /developers/weaviate/current/
on “Sonic: Fast, lightweight and schema-less search backend”Submitted Why is Vector Search so fast? as a story · 19 points
HN discussionSeMI Technologies | Remote | Full-time | multiple roles We're working on the open-source vector search engine Weaviate ( https://weaviate.io ) We are looking for a wide variety of engineers: https://semitechnologies.teamtailor.com/jobs
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on “Ask HN: Who is hiring? (August 2022)”Submitted Boosting Vector Search Speed by 40% with AVX512 on Emerald Rapids as a story · 9 points
HN discussionWeaviate ( https://weaviate.io/)| hiring for Engineering | Remote | Full-time Weaviate is an AI-native vector database that helps customers with hybrid search, RAG, and generative feedback loops. check out the open-source project here: https://github.com/weaviate/weaviate . we were recently named to the Top 50 AI Startups list published by Forbes. we are hiring for a number of different roles but are highlighting: S…
Comment linking /company/careers
on “Ask HN: Who is hiring? (September 2024)”Submitted Gorilla LLM <> Weaviate – natural language commands into GraphQL as a story · 9 points
HN discussionSeMI Technologies | Senior Developer Advocates | REMOTE (US-based) | Full-time We are looking to hire two Senior Developer Advocates based in the US. Highlights: - Work with open source vector search engine Weaviate ( https://weaviate.io ) - We are looking for people who live in the US (ideally East and West coast) but we work fully remote. More info: https://theorg.com/org/semi-technologies/jobs/senior-develop...
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on “Ask HN: Who is hiring? (June 2022)”Submitted Weaviate – Open-Source AI Native Vector Database as a story · 8 points
HN discussionWeaviate ( https://weaviate.io/)| hiring for Engineering + Marketing| Remote between UTC-5 and UTC+2| Weaviate is an AI-native vector database that helps customers with hybrid search, RAG, and generative feedback loops. check out the open-source project here: https://github.com/weaviate/weaviate . we are hiring for a number of different roles but are highlighting: Senior Fullstack Engineer - https://careers.weaviate…
Comment linking /company/careers
on “Ask HN: Who is hiring? (August 2024)”Submitted Gomemlimit (Go 1.19) is a game-changer for high-memory applications as a story · 8 points
HN discussionCommunity Solution Engineer | Full-time | remote SeMI Technologies is working on the open-source vector search engine Weaviate ( https://weaviate.io ) We are currently looking for a Community Solution Engineer. In this role, you'll work directly with our Weaviate developer community, helping them create successful applications using Weaviate. https://semitechnologies.teamtailor.com/jobs/1979701-communi...
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on “Ask HN: Who is hiring? (September 2022)”Submitted Using Cross-Encoders as reranker in multistage vector search as a story · 8 points
HN discussionWant to work on the open source vector search engine Weaviate? We are looking to hire multiple roles for our Weaviate Cloud Service team: one Senior Front-end Developer, one Full-stack Developer with front-end focus, and two Senior Software engineers. Highlights: - contribute to build SeMI’s managed Weaviate offering. More info: https://theorg.com/org/semi-technologies/teams/weaviate-clou... Next to that we are look…
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on “Ask HN: Who is hiring? (July 2022)”Submitted Vamana vs. HNSW – Exploring ANN Vector Search Algorithms as a story · 7 points
HN discussionWe are the company behind the open-source vector search engine Weaviate. We are looking for people to join our engineering, devrel, and research team s . These roles are remote, with a slight preference for a specific region for the devrel roles. The following links should provide enough information to learn what we are working on and documentation to the open-source software. - Weaviate: https://weaviate.io - SeMI…
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on “Ask HN: Who is hiring? (March 2022)”Submitted Weaviate 1.20 Released as a story · 6 points
HN discussionSeMI Technologies ( https://semi.technology ) is working on the open-source vector search engine Weaviate ( https://weaviate.io ) We are currently looking for a Senior Developer Advocate (US West Coast). https://semitechnologies.teamtailor.com/jobs/1867280-senior-...
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on “Ask HN: Who is hiring? (October 2022)”Submitted 4-Bit Rotational Quantization: -45% RAM, <1% recall drop vs. TurboQuant as a story · 5 points
HN discussionMight be interesting to add an optional embedded Weaviate [1] with a flat-index [2] to the project. It wouldn't use external services and is fully disk-based. Would allow you to search the whole filesystem (about 1.5kb per file (384 dimensions) which would be added to the metadata as well). 1. https://weaviate.io/developers/weaviate/installation/embedde... 2. https://weaviate.io/developers/academy/py/vector_index/fl…
Comment linking /developers/academy/py/vector_index/flat
on “Show HN: VectorVFS, your filesystem as a vector database”Submitted A Deep Dive into Weaviate's Fusion Algorithms for Hybrid Search as a story · 4 points
HN discussionI understand the sentiment. We are starting to open source some tools, mostly around embedding model evaluation (i.e. https://github.com/voyage-ai/voyage-evaluation-public ), with other stuff coming up. FWIW, there are other deployment options besides the API as well: AWS ( https://docs.voyageai.com/docs/aws-marketplace-model-package ), Azure ( https://docs.voyageai.com/docs/azure-marketplace-managed-app... ), Snowf…
Comment linking /developers/weaviate/model-providers/voyageai/embeddings
on “All-in-one embedding model for interleaved text, images, and screenshots”Submitted Distance Metrics in Vector Search as a story · 4 points
HN discussionInteresting writeup. I'm of the opinion that the problem of the naming issue (how to call "things"?) sits in the idea that going from structured documents to structured data is one abstraction level too deep (i.e., people don't agree on how to call "things"). I believe this can be solved by similarity search; if we can approximate the data and represent the structure in embeddings. Hopefully, this might be a step in…
Comment linking /developers/weaviate/current/tutorials/semantic-search-through-wikipedia.html
on “The semantic web is dead – Long live the semantic web”Submitted Generative Search Module for Weaviate as a story · 4 points
HN discussionIm affiliated with a company that makes one. We create a vector search engine called Weaviate [1] we also publish content on how it's done and the search engine itself is open source which might be helpful for you too. [1] https://weaviate.io
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on “Ask HN: I want to dive into how to make search engines”Submitted Weaviate 1.14 Release as a story · 4 points
HN discussionCongrats to them! What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really.
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on “Qdrant, the Vector Search Database, raised $28M in a Series A round”Submitted Context Engineering – LLM Memory and Retrieval for AI Agents as a story · 3 points
HN discussionTomorrow https://weaviate.io will also release a generative search module that accepts LaMDA when it’s in GA besides GPT-based models. (I'm affiliated with Weaviate)
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on “Sundar Pichai: An important next step on our AI journey”Submitted Compress Vectors by 4x by using 8-bit Rotational Quantization as a story · 3 points
HN discussion
