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Qdrant

Qdrant

Vector database for AI search, RAG, recommendations, and agent memory.

Qdrant screenshot

What is Qdrant?

⚡ Quick Summary / TL;DR

Qdrant is an AI-driven Developer Tools platform designed to vector database for ai search, rag, recommendations, and agent memory.. It is specifically optimized for Developer, Founder seeking to streamline their workflow and enhance productivity.

Overview of Qdrant

Qdrant is an open-source vector database and managed cloud platform for building AI applications that need fast semantic search and retrieval. Developers use it to store embeddings, search by meaning, and power RAG systems, recommendation engines, AI agents, memory layers, and advanced search products. For SaaS founders and technical teams, Qdrant is useful when a product needs to retrieve relevant context before calling an LLM. It can support internal knowledge assistants, support bots, research tools, legal search, ecommerce recommendations, and agent workflows that depend on accurate similarity search. Qdrant can be self-hosted or used through Qdrant Cloud. The cloud pricing page includes a free tier for testing and prototypes, a usage-based standard tier for production workloads, and premium or enterprise options for additional uptime, security, and compliance requirements. For FutureStack, Qdrant is a strong Developer Tools listing because vector search is one of the most important infrastructure layers for AI products. It is best for developers and founders building production RAG, semantic search, recommendation, and agent systems.

Best for

Vector search, RAG, semantic retrieval, recommendations, AI agents, and memory.

Key Features of Qdrant

  • Open-source vector database for AI applications
  • Managed Qdrant Cloud with free and paid tiers
  • Supports RAG, recommendations, advanced search, and agents
  • API, Terraform, Pulumi, CLI, backup, and scaling options

Pricing summary

Free tier available. Standard tier uses usage-based pricing. Premium and enterprise options require minimum spend or custom pricing.

Pricing & Plans for Qdrant

Free Tier

Free vector database cluster for testing and prototypes.

Free
  • Single-node cluster
  • 0.5 vCPU and 1GB RAM
  • 4GB disk
  • Community support
Popular

Standard Tier

Usage-based managed vector search for production AI apps.

Custom
  • Dedicated resources
  • Flexible vertical and horizontal scaling
  • Backup and disaster recovery
  • 99.5% uptime SLA

Premium Tier

Advanced security and support for larger AI workloads.

Custom
  • Minimum spend required
  • SSO and private VPC links
  • 99.9% uptime SLA
  • Premium support

Other pricing notes

  • Pricing checked on 2026-07-14 from Qdrant's official pricing page.
  • Free tier includes 0.5 vCPU, 1GB RAM, and 4GB disk for testing and prototypes.
  • Standard tier is usage-based and premium tier has minimum spend requirements.
Pricing last checked: July 2026Official pricing page

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