Top all-time · #619
Pinecone
Company blog · pinecone.io/blog · on HN as PineconeSystemsaidata
Pinecone is the company blog at pinecone.io, writing about ai and data. Since 2021, 99 different Hacker News readers have linked it 534 times, most often “Pinecone: The Vector Database for Machine Learning”. It is still writing: the last post was on 2026-10-27, and you can follow it by feed.
Pinecone is the trusted AI knowledge company. Its AI knowledge platform—Database, Nexus, and Marketplace—powers accurate, fast, cost-effective AI for 10,000+ customers and 1M developers worldwide.
Most-linked posts?
- Pinecone: The Vector Database for Machine Learning16 people · 42 mentions · first linked 2021-01-05
- What Is a Vector Database?6 people · 13 mentions · first linked 2021-05-10
- Chunking Strategies for LLM Applications4 people · 6 mentions · first linked 2023-04-07
- Chatbot Memory with Langchain4 people · 4 mentions · first linked 2023-03-14
- Pinecone Serverless4 people · 4 mentions · first linked 2024-01-16
- Hierarchical Navigable Small Worlds (HNSW)4 people · 4 mentions · first linked 2023-10-03
- Pinecone: Build Knowledgeable AI3 people · 17 mentions · first linked 2021-04-09
- Retrieval Augmented Generation (RAG) Reducing Hallucinations in GenAI Apps3 people · 7 mentions · first linked 2023-08-03
- Hnsw Is Not Enough3 people · 5 mentions · first linked 2023-10-27
- /learn/3 people · 5 mentions · first linked 2021-12-14
What Hacker News says?
I recall seeing some library that adds vector search to Postgres. Maybe https://github.com/ankane/pgvector ? Also there's Pinecone ( https://www.pinecone.io ) which can sit alongside Postgres or any other data warehouse and ingest vector embeddings + metadata for vector search/retrieval.
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on “PostgreSQL 14”Submitted Rust – A hard decision pays off as a story · 474 points
HN discussionTo add to the other recommendations, here's a primer on vector DB's: https://www.pinecone.io/learn/vector-database/
Comment linking /learn/vector-database/
on “Embeddings are a good starting point for the AI curious app developer”Submitted Introduction to K-Means Clustering as a story · 257 points
HN discussionhttps://www.pinecone.io/blog/pinecone-vs-pgvector/ check it out :)
Comment linking /blog/pinecone-vs-pgvector/
on “Embeddings are a good starting point for the AI curious app developer”Submitted Show HN: I made a free course, 'NLP for Semantic Search' as a story · 239 points
HN discussionseeing comments about using pgvector... at pinecone, we spent some time understanding it's limitations and pain points. pinecone eliminates these pain points entirely and makes things simple at any scale. check it out: https://www.pinecone.io/blog/pinecone-vs-pgvector/
Comment linking /blog/pinecone-vs-pgvector/
on “Embeddings are a good starting point for the AI curious app developer”Submitted Rewriting a high performance vector database in Rust as a story · 126 points
HN discussionSemantic search using text embeddings. With Open Distro for Elasticsearch you can store your text embeddings and then perform a nearest-neighbor search[1] to find most similar documents using cosine similarity[2]. Elasticsearch (vanilla) will get this feature with 8.0. If migrating to ES makes you groan you can use a managed service like Pinecone[3] (disclaimer: I work there) just for storing and searching through t…
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on “Postgres Full-Text Search: A search engine in a database”Submitted Nearest neighbor indexes for similarity search as a story · 125 points
HN discussionYes, see: https://www.pinecone.io/blog/hnsw-not-enough/
Comment linking /blog/hnsw-not-enough/
on “Vector Databases: A Technical Primer [pdf]”Submitted K-Nearest Neighbors as a story · 118 points
HN discussionThrowing one more - https://www.pinecone.io/learn/vector-database/
Comment linking /learn/vector-database/
on “Vector Databases: A Technical Primer [pdf]”Submitted BERTopic: The Future of Topic Modeling as a story · 104 points
HN discussionI don't have plans for compressed vector storage. There is support for int8/binary quantization, which can reduce the size of stored vectors drastically, but impacts performance quite a lot. I'd like to support something like product quantization[0] in the future, though! No plans for using usearch or another vector search library, either. I want to keep dependencies low to make compilingeasy, and I want full contro…
Comment linking /learn/series/faiss/product-quantization/
on “I’m writing a new vector search SQLite Extension”Submitted Product Quantization: Compressing high-dimensional vectors as a story · 104 points
HN discussionThanks for the answer. Wikipedia has a lot of tables so I was wondering if content-aware sentence chunking would be good enough for Wikipedia. https://www.pinecone.io/learn/chunking-strategies/
Comment linking /learn/chunking-strategies/
on “Vector indexing all of Wikipedia on a laptop”Submitted Vector search just got up to 10x faster and vertically scalable as a story · 92 points
HN discussionSee: https://www.pinecone.io/learn/hnsw/ Although our graph-based vector index does not use HNSW, the concept is similar.
Comment linking /learn/hnsw/
on “Rust – A hard decision pays off”Submitted Facebook AI Similarity Search (Faiss) as a story · 85 points
HN discussionTo be fair, the pricing is still available in this case: https://www.pinecone.io/pricing/ (though the "Unlimited XXX" with the actual price below in gray might be considered misleading)
Comment linking /pricing/
on “Removing stuff is never obvious yet often better”Submitted Softmax Activation Function, Explained as a story · 83 points
HN discussionThank you. :) I don’t think of it as social media marketing but more of helping our target audience learn useful things. Yes that requires they actually find the articles which means sharing it on social, being mindful of SEO, and so on. Probably our learning center is what you’re thinking of. https://www.pinecone.io/learn/ … The blog is more of a news ticker for product and company news.
Comment linking /learn/
on “Removing stuff is never obvious yet often better”Submitted Hierarchical Navigable Small Worlds as a story · 73 points
HN discussionPinecone | Software Engineer: Distributed Data Systems, Infrastructure & Tools, Frontend | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/a6f4b3203us Pinecone ( https://www.pinecone.io/ ) is building a vector database for machine learning applications. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with worl…
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on “Ask HN: Who is hiring? (February 2021)”Submitted Locality Sensitive Hashing (LSH): Practical and Illustrated Guide as a story · 66 points
HN discussionPinecone | Software Engineer: Distributed Systems, Full Stack | New York, NY (NYC) & Tel Aviv, Israel | Full-time | https://grnh.se/f13fe7453us Pinecone ( https://www.pinecone.io/ ) is building a vector database for machine learning applications. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have built large scale M…
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on “Ask HN: Who is hiring? (August 2022)”Submitted Pinecone raises $100M Series B as a story · 50 points
HN discussionPinecone | Software Engineer: Distributed Data Systems, Infrastructure & Tools, Full-Stack Frontend; SRE | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/a6f4b3203us Pinecone ( https://www.pinecone.io/ ) is building similarity search at scale, providing vector indexing as a service. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At P…
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on “Ask HN: Who is hiring? (April 2021)”Submitted What's so special about vector embeddings as a story · 44 points
HN discussion
