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Head to head · 2026

LangChain vs Qdrant

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

LangChain

The open-source framework behind 90 million monthly downloads and 35% of the Fortune 500

4.4Free

Visit LangChain (opens LangChain in a new tab)

Qdrant

Open-source vector database that raised a $50M Series B to power retrieval for AI agents

4.3Free

Visit Qdrant (opens Qdrant in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: LangChain does not list a price

  • Free plan

    Tie

    Both have one

  • Higher rating

    LangChain

    4.4 against 4.3

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onLangChainQdrant
Our rating4.4Better4.3
Starts atFreeFree
Free planYesYes
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
Plans
  • Developer$0/seat/mo
  • Plus$39/seat/mo
  • EnterpriseCustom
Free
Key features
  • Standard building blocks for chains, retrieval, memory, and tool calling
  • Free, open-source core framework with a massive existing ecosystem
  • 90 million combined monthly downloads with LangGraph as of 2026
  • 35% of the Fortune 500 reported building on LangChain's tooling
  • $260M raised total, $1.25B valuation as of October 2025
  • Open-source vector database, free to self-host with full source access
  • Qdrant Cloud managed service with a free tier and usage-based paid plans
  • Purpose-built for semantic search, recommendations, and RAG pipelines
  • $50M Series B raised March 2026 to expand agent-retrieval infrastructure
  • Filterable vector search with payload metadata alongside embeddings
Pros
  • Free, open-source core with no licensing cost for the framework itself
  • Massive adoption means abundant documentation, examples, and community support
  • Foundational building blocks reduce repetitive LLM-application plumbing
  • Open-source option gives full control and zero licensing cost for self-hosted deployments
  • Managed cloud tier removes the operational overhead of running vector search infrastructure
  • Free tier on Qdrant Cloud is generous enough for real prototyping, not just a demo
Cons
  • Production observability and hosted deployment require separate paid products
  • Broad, general-purpose scope can mean more setup than a narrower, purpose-built tool
  • Fast-moving library with frequent updates can require ongoing maintenance
  • Self-hosting still requires infrastructure expertise the managed tier is meant to remove
  • Competes in a crowded vector-database field against Pinecone and several open-source alternatives
  • Newer funding means less operating history than some competing vector databases
CompanyLangChain, founded 2022Qdrant, founded 2021

Prices come from each vendor's pricing page, last checked 20260716. Check the vendor before you buy.

FAQ

Questions people ask

Is LangChain better than Qdrant?

In our reviews LangChain scores 4.4 and Qdrant scores 4.3. The better pick depends on the job. LangChain: The open-source framework behind 90 million monthly downloads and 35% of the Fortune 500. Qdrant: Open-source vector database that raised a $50M Series B to power retrieval for AI agents.

Which is cheaper, LangChain or Qdrant?

LangChain: free. Qdrant: free.

Do LangChain and Qdrant have free plans?

Yes, both have a free plan.

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