Vespa

Where it runs

• API
• CLI
• Linux

Tags

• #vector-search
• #search-engine
• #ann
• #ranking
• #open-source

• View Pinecone details

  Vector DBFREEMIUM

  PI

  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.

  AI insight: Fully managed with no self-host option — the trade-off for the serverless pricing it popularized in the vector-DB space.

  • managed
  • serverless
  • rag
  • semantic-search

  Open
• View LanceDB details

  Vector DBFREEMIUMOpen core

  LA

  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.

  AI insight: Runs embedded in-process on its own Lance columnar format — there's no server to operate, unlike Pinecone or Weaviate.

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

  Open
• View Milvus details

  Vector DBFREEMIUMOpen core

  MI

  Milvus

  Zilliz

  Distributed open-source vector DB built for billion-scale.

  Cloud-native, Apache-2.0 vector database for similarity search at scale, powering RAG, semantic and multimodal search, and recommendations. Its distributed architecture separates storage and compute and supports many index types (HNSW, IVF, FLAT, DiskANN, SCANN) with quantization and mmap. Created by Zilliz, which offers the managed Zilliz Cloud.

  AI insight: A graduated LF AI & Data project that separates storage from compute and ships DiskANN, so a single cluster scales to billions of vectors.

  • vector-db
  • open-source
  • rag
  • ann-search
  • +1

  Open
• View Chroma details

  Vector DBFREEMIUMOpen core

  CH

  Chroma

  Chroma

  Embedded vector DB. Pip-install, prototype, scale later.

  The low-friction starting point — Chroma runs embedded inside your Python process or as a hosted service. Great for prototypes and small-to-medium RAG apps; upgrade to a managed option when you outgrow it.

  AI insight: Runs embedded inside your Python process — the lowest-friction way to prototype RAG before you need a server at all.

  • open-source
  • embedded
  • prototype
  • python

  Open
• View pgvector details

  Vector DBFREEOSS

  PG

  pgvector

  pgvector community

  Vector similarity search inside Postgres. The pragmatic default.

  Postgres extension that adds a vector type plus exact and approximate nearest-neighbour search. Pairs naturally with Supabase, Neon, and any managed Postgres. The lowest-friction RAG backend if you already run Postgres.

  AI insight: Keeps embeddings in the same Postgres as your relational data, so you can JOIN against them and back everything up together.

  • postgres
  • open-source
  • extension
  • rag

  Open
• View Qdrant details

  Vector DBFREEMIUMOpen core

  QD

  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.

  AI insight: Written in Rust and ships as a single self-hostable binary — its payload filtering is why teams pick it for metadata-heavy search.

  • open-source
  • rust
  • self-hosted
  • fast

  Open
• View Turbopuffer details

  Vector DBPAID

  TU

  Turbopuffer

  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.

  AI insight: Stores indexes on object storage instead of RAM, so cost tracks usage not corpus size — Notion runs it in production.

  • serverless
  • object-storage
  • cold-storage
  • scale

  Open
• View Weaviate details

  Vector DBFREEMIUMOpen core

  WE

  Weaviate

  Weaviate

  Open-source vector database with built-in vectorisers.

  Cloud-native vector DB that can compute embeddings inline — pass raw text in, store vectors out. Strong hybrid (BM25 + vector) search; self-hostable or managed.

  AI insight: Embeds text inline so you can skip a separate vectorizer step, and does hybrid BM25 + vector search out of the box.

  • open-source
  • self-hosted
  • hybrid-search
  • rag

  Open