Qdrant

Open-source vector DB + cloud

Free tier + paidSearch, vector & RAGqdrant.tech

What it is

A Rust vector database with the strongest payload filtering in the category — combine vector similarity with keyword, full-text, numeric-range, geo and boolean conditions in one query. Supports hybrid search with reciprocal rank fusion, sharding, multitenancy, GPU indexing, and quantization that cuts RAM by up to 97%.

Why it earns a slot

The best free-forever managed tier of any serious vector DB: 1GB RAM with no clock running is enough for a real side project, and docker run qdrant/qdrant is identical locally.

Know before you commit

The free cluster is a single node with no backups and no HA — a prototype home, not a production one. Filtered search over high-cardinality payloads needs index planning.

Getting started

docker run -p 6333:6333 qdrant/qdrant

Field notes

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Field check

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Pricing snapshot

OSS free (Apache 2.0). Cloud free tier forever: 1GB RAM, 0.5 vCPU, 4GB disk, single node. Standard is usage-based hourly for compute, memory, storage and backup. Premium has a minimum spend. Hybrid and Private Cloud are custom.

Snapshots move fast — verify at checkout, and post a field note if it changed.

Drop into your Lovable chat

Evaluate Qdrant (https://qdrant.tech) for this project, then use it only if it fits what we are already building.
Context: Open-source vector DB + cloud. A Rust vector database with the strongest payload filtering in the category — combine vector similarity with keyword, full-text, numeric-range, geo and boolean conditions in one query. Supports hybrid search with reciprocal rank fusion, sharding, multitenancy, GPU indexing, and quantization that cuts RAM by up to 97%.
Reviewer notes (general, not written for this codebase): The best free-forever managed tier of any serious vector DB: 1GB RAM with no clock running is enough for a real side project, and docker run qdrant/qdrant is identical locally.
Watch out for: The free cluster is a single node with no backups and no HA — a prototype home, not a production one. Filtered search over high-cardinality payloads needs index planning.
Pricing: OSS free (Apache 2.0). Cloud free tier forever: 1GB RAM, 0.5 vCPU, 4GB disk, single node. Standard is usage-based hourly for compute, memory, storage and backup. Premium has a minimum spend. Hybrid and Private Cloud are custom.
Setup: docker run -p 6333:6333 qdrant/qdrant
Rules: treat the notes above as background only. Do not assume a theme, style, layout or feature that is not already in this project — inspect the existing code first and ask me before changing visual direction.

/api/public/tools/qdrant

Neighbourhood

How Qdrant sits against the rest of the atlas — swaps, companions and the tools builders actually save alongside it.

Instead of thisFuse.js MiniSearch Pagefind Algolia Brave Search API Chroma Cloudflare Vectorize Elastic Cloud Exa Jina AI

Also in Search, vector & RAG

Algolia

algolia.com

Hosted keyword search API

Free tier + paidSearch, vector & RAG

Free: 10K search requests/mo + 50K records. Grow: $0.50 per 1K searches + $0.40 per 1K records (10K searches / 100K records included). Grow Plus $1.75 per 1K searches. Elevate with NeuralSearch is custom.

Open dossier

Brave Search API

brave.com

Independent web index search API

PaidSearch, vector & RAG

$5/month in free credits applied automatically; no standing free query allowance. Search $5 per 1K requests at 50 QPS. Answers $4 per 1K requests plus $5 per million input/output tokens at 2 QPS. Enterprise custom.

Open dossier

Chroma

trychroma.com

Embedded vector DB + cloud

Free tier + paidSearch, vector & RAG

OSS free (Apache 2.0). Chroma Cloud Starter: $0/mo base with $5 free credits, then usage. Team $250/mo + usage with $100 credits. Rates: $2.50 per GiB written, $0.33 per GiB-month stored, $0.0075 per TiB queried, $0.09 per GiB returned.

Open dossier

Cloudflare Vectorize

developers.cloudflare.com

Serverless vector DB on Workers

Free tier + paidSearch, vector & RAG

Workers Free: 5M stored vector dimensions, 30M queried dimensions/mo. Workers Paid ($5/mo): 10M stored and 50M queried included, then $0.05 per 100M stored dimensions and $0.01 per million queried dimensions.

Open dossier