Infino
infino.ai
Actively hiring
Vector Search & RAG
Databases & DBMS
Query Engines & Big Data Processing
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News
Infino: fastest VectorDB at a million, still cheaper at a billion
Fastest on VectorDBBench at 1M and 10M - then the same engine reshapes from an in-RAM graph to an object-storage index, roughly 10x cheaper at a billion.
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Fixed grids on vector search - comparing 3 approaches to quantization: FAISS, Turbovec, and Infino
Three 4-bit indexes at the same 768 bytes per vector: recall within two points, latency 30 apart.
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What is hybrid search?
Two retrievers that miss different things, and the rank fusion that merges their lists.
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Why object-storage vectors use OPANN + Sq16, while RAM uses HNSW
One durable vector corpus, with a graph in RAM and bounded range reads on object storage.
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Infino's self-driving vector engine
You write a table; the engine inverts it in the background and stamps the ANN dials from your data - 0.99 recall@10 on Cohere-10M, zero knobs.
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