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pgvecto.rs

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

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#Search Engine #Vector Databases #Postgres Tools #PostgreSQL As A Service
pgvecto.rs

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    Landing page //
    2024-03-16

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  • VectorChord: Store 400k Vectors for $1 in PostgreSQL
    In five pages of text, we never get to learn what a Vector is (in this context), why we’d want to store one in pgsql, or why it costs so much to store them compared to anything else you’d store there. For an example of how you can communicate with domain experts, while still giving everyone else some form of clue as to what this hell you’re talking about, check out the link to the product that this thing claims to... - Source: Hacker News / 5 months ago
  • 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 / about 1 year ago

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This is an informative page about pgvecto.rs. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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