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Vector DBTopK

TopK

Retrieval engine with hybrid search, multi-vector, and custom ranking in one query.

Categories
Vector DBSearch
Pricing
FREEMIUM
Hosting
Hybrid
Platforms
APICLI
Models
Model-agnostic
Verified
Jun 16, 2026

TopK is a serverless retrieval engine that unifies vector (semantic), keyword (lexical), and multi-vector search with custom ranking in a single query and API — replacing the multi-database stack that RAG and search apps usually stitch together. Storage, inference (embedding, OCR, parsing), and queries run inside the engine or your own VPC, with SDKs for Python, JavaScript/TypeScript, and Rust plus a CLI and an MCP server.

Pros & cons

  • Hybrid + multi-vector in one query
  • Runs in your own VPC (BYOC)
  • Built-in embedding/OCR inference
  • Low latency at billion-doc scale
  • SDKs for Python, JS, Rust + MCP
  • Newer, smaller ecosystem than peers
  • No open-source self-host
  • Developer/API-first, no managed UI
  • Smaller community vs Pinecone/Qdrant

Tags

View all Vector DB
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    Vector DBPAID

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    Turbopuffer

    Object-storage-backed vector DB. Serverless economics at scale.

    Bills like S3 — cold rest, warm reads, no per-namespace minimums. Designed for very-large, mostly-cold vector workloads where you can't justify keeping every index in RAM. Operated by Notion in production.

    Worth knowing

    Built by two ex-Shopify engineers; it reached a ~$100M run-rate powering Cursor and Notion having raised under $1M.

    • serverless
    • object-storage
    • cold-storage
    • scale
  • View Pinecone details
    Vector DBFREEMIUM

    Pinecone

    Pinecone

    Managed vector database. The industry-default serverless option.

    Fully-managed vector DB built for production RAG and semantic search at scale. Serverless pricing, low-latency reads, integrations across every framework. Most Blokz-adjacent AI teams reach for it first.

    Worth knowing

    Founded in 2019 by Edo Liberty, formerly head of Amazon AI Labs; raised a $100M Series B at a $750M valuation in 2023.

    • managed
    • serverless
    • rag
    • semantic-search
  • View Qdrant details
    Vector DBFREEMIUMOpen core

    Qdrant

    Qdrant

    Open-source, Rust-based vector DB. Fast, predictable, self-hostable.

    Vector database written in Rust with a strong focus on filtering, payloads, and predictable latency at scale. Self-host on a single binary or use the managed cloud.

    Worth knowing

    Berlin-based, founded 2021; raised a $28M Series A led by Spark Capital in January 2024.

    • open-source
    • rust
    • self-hosted
    • fast
  • View LanceDB details
    Vector DBFREEMIUMOpen core

    LanceDB

    LanceDB

    Embedded multimodal vector database on the Lance format.

    An open-source retrieval engine for AI built on the Lance columnar format. It runs in-process alongside your app — no separate server — and stores, indexes, and searches vectors, metadata, and multimodal data (text, images, video) with vector, full-text, and SQL queries. A managed enterprise lakehouse tier scales the same engine to petabytes.

    Worth knowing

    Its CEO co-authored the pandas library; the YC-backed startup counts Midjourney as a customer.

    • vector-search
    • multimodal
    • embedded
    • lance
    • +1