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Turbopuffer

Turbopuffer is an object-storage-native vector and full-text search engine for AI retrieval workloads. It uses stateless query nodes with NVMe SSD and memory caching layered over object storage, enabling petabyte-scale hybrid search for RAG pipelines and semantic search at lower cost than RAM-centric alternatives.

Momentum
Not scored
as of 2026-08-03
Funding
—
Founded
—
Stack
Layer 3
Research Tier A
0%
needs citations
Momentum inputsNot scored · need ≥2 signals · as of 2026-08-03

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    Research completeness

    • Tier A: 0% (0/0)
    • Tier B: 0% · Tier C: 0%
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    What they do

    Who is this for? Teams evaluating AI vendors in this category.

    Why different? Turbopuffer is an object-storage-native vector and full-text search engine for AI retrieval workloads. It uses stateless query nodes with NVMe SSD and memory caching layered over object storage, enabling petabyte-scale hybrid search for RAG pipelines and semantic search at lower cost than RAM-centric alternatives.

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    Provenance

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