Software Alternatives, Accelerators & Startups

pgvecto.rs VS Vespa.ai

Compare pgvecto.rs VS Vespa.ai and see what are their differences

pgvecto.rs logo pgvecto.rs

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs

Vespa.ai logo Vespa.ai

Store, search, rank and organize big data
  • pgvecto.rs Landing page
    Landing page //
    2024-03-16
  • Vespa.ai Landing page
    Landing page //
    2023-05-13

Category Popularity

0-100% (relative to pgvecto.rs and Vespa.ai)
Search Engine
39 39%
61% 61
Vector Databases
100 100%
0% 0
Custom Search Engine
0 0%
100% 100
PostgreSQL As A Service
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Vespa.ai seems to be a lot more popular than pgvecto.rs. While we know about 19 links to Vespa.ai, we've tracked only 1 mention of pgvecto.rs. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

pgvecto.rs mentions (1)

  • pgvector vs. pgvecto.rs in 2024: A Comprehensive Comparison for Vector Search in PostgreSQL
    Pgvecto.rs adopted a design akin to FreshDiskANN, resembling the Log-Structured Merge (LSM) tree concept. This architecture comprises three components: the writing segment, the growing segment, and the sealed segment. New vectors are initially written to the writing segment. A background process then asynchronously transforms them into the immutable growing segment. Subsequently, the growing segment undergoes a... - Source: dev.to / 3 months ago

Vespa.ai mentions (19)

  • Code Search Is Hard
    If you're serious about scaling up, definitely consider Vespa (https://vespa.ai). At serious scale, Vespa will likely knock all the other options out of the park. - Source: Hacker News / 2 months ago
  • Simple Precision Time Protocol at Meta
    Yahoo released their geographic data catalogue under open license and it still lives on as https://whosonfirst.org/ Afaik https://en.wikipedia.org/wiki/Apache_ZooKeeper started at Yahoo https://vespa.ai/ was Yahoo's search engine for news and other content product, now spinned off (https://techcrunch.com/2023/10/04/yahoo-spins-out-vespa-its-search-tech-into-an-independent-company/). - Source: Hacker News / 4 months ago
  • Are we at peak vector database?
    I think https://vespa.ai/ has the right approach in this space by focusing on being hybrid - vectors alone aren't great for production use cases, it's the combining of vectors+text that lets you use ranking to get meaningful result. (I'm an investor so I'm biased; but it's also the reason why I invested). - Source: Hacker News / 5 months ago
  • Show HN: RAGatouille, a simple lib to use&train top retrieval models in RAG apps
    So what’s the catch? Why is this not everywhere? Because IR is not quite NLP — it hasn’t gone fully mainstream, and a lot of the IR frameworks are, quite frankly, a bit of a pain to work with in-production. Some solid efforts to bridge the gap like Vespa [1] are gathering steam, but it’s not quite there. [1] https://vespa.ai. - Source: Hacker News / 5 months ago
  • Creating an advanced search engine with PostgreSQL
    When it comes to search I cannot disagree more. https://vespa.ai is a purpose built search engine. If you start bolting search onto your database, your relevance will be terrible, you'll be rewriting a lot of table stakes tools/features from scratch, and your technical debt will skyrocket. - Source: Hacker News / 11 months ago
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What are some alternatives?

When comparing pgvecto.rs and Vespa.ai, you can also consider the following products

Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

Meilisearch - Ultra relevant, instant, and typo-tolerant full-text search API

Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Typesense - Typo tolerant, delightfully simple, open source search 🔍

Auto-GPT - An Autonomous GPT-4 Experiment

Weaviate - Welcome to Weaviate