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LangChainThe open agent platform to own your intelligence
vs
Relevance AISpecialist AI Agents for Every Task
Comparison · AI Agents · weekly run Nov 3

LangChain vs Relevance AI

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

LangChain is the stronger AI pick in AI Agents: it has a visibility score of 10.4 versus 8 for Relevance AI, and ranks ahead in 50% of the answers that name both.

Choose LangChain if…

  • You want the brand AI engines rank higher (10.4 vs 8)
  • You want a free plan to start
  • You need a self-hosted or on-premises option
  • You prefer a larger, established vendor (201–500 employees)

Choose Relevance AI if…

  • AI answers describe it more positively (50% vs 17% positive)
  • You need SOC 2 or GDPR coverage
  • Flat tiers pricing suits your budget better than per seat
  • visual drag-and-drop agent builder

AI visibility side by side

Latest weekly run · Nov 3

Metric LangChain Relevance AI
Visibility score10.4%8%
Change vs last weekNewNew
Rank in AI Agents#12#15
Share of voice2.7%1.5%
Mentions this run1810
Positive in AI answers17%50%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3LangChain 10%

LangChain 0pp · Relevance AI 0pp over 0 weekly runs.

Engine by engine

LangChain leads on 2 of 3 engines

ChatGPT
12.6%
10.9%
AI Mode
13.3%
5%
Perplexity
5.2%
8%
LangChainRelevance AI

Head to head in AI answers

4 engine answers name both brands

2LangChain ranked higher
2Relevance AI ranked higher

Features, pricing & fit

DimensionLangChainRelevance AI
Pricing modelPer seatFlat tiers
Entry priceFree; paid from $39 per seat / moContact sales
Free planYesNo
DeploymentCloud (SaaS), hybrid (SaaS control plane with self-hosted data plane), or self-hosted in the customer's VPC—
Integrations—2000+
Compliance—SOC 2, GDPR
SupportCommunity forum, Support portal, Email support, SlackEmbedded deployment team, Dedicated account manager on Enterprise plan
Founded20232020
HeadquartersSan Francisco, CA, United StatesSan Francisco, California, United States
Employees201–50051–200
FundingSeries B, led by IVPSeries A (unconfirmed, reported by Signalbase) · $37M raised
Best forTeams building agents that need control over models, context, memory and deployment, and the ability to test, govern and improve them in productionEnterprise teams in sales, customer success, marketing and HR that want non-technical staff to build and run their own agents.

Plans side by side

LangChain

Developer$0seat per month, then pay as you go
Plus$39seat per month, then pay as you go
EnterpriseCustomcustom pricing, then pay as you go
LangChain pricing

Relevance AI

EnterpriseCustom
Relevance AI pricing

Pros and cons

Themes from the AI answers that mention each brand

LangChain

  • Stateful multi-agent orchestration via state graphs
  • Strong open-source adoption with large download numbers
  • Suited to enterprise agent loops
  • Heavy developer framework that requires coding

Relevance AI

  • visual drag-and-drop agent builder
  • free tier
  • prebuilt agent templates for sales, support, and operations
  • hosted no-code agent builder useful for experimenting
  • named best overall

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “LangChain vs Relevance AI”, https://slateindex.ai/compare/langchain-vs-relevance-ai, data of Nov 3, 2026. Licence: CC BY 4.0.