LangGraph vs Relevance AI
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
LangGraph is the stronger AI pick in AI Agents: it has a visibility score of 24.4 versus 8 for Relevance AI, and ranks ahead in 67% of the answers that name both.
Choose LangGraph if…
- You want the brand AI engines rank higher (24.4 vs 8)
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or ISO 27001:2022 or HIPAA coverage
- Production standard for stateful, multi-agent workflows
Choose Relevance AI if…
- AI answers describe it more positively (50% vs 44% positive)
- You need SOC 2 coverage
- visual drag-and-drop agent builder
- free tier
AI visibility side by side
Latest weekly run · Nov 3
| Metric | LangGraph | Relevance AI |
|---|---|---|
| Visibility score | 24.4% | 8% |
| Change vs last week | New | New |
| Rank in AI Agents | #4 | #15 |
| Share of voice | 5.3% | 1.5% |
| Mentions this run | 33 | 10 |
| Positive in AI answers | 44% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
LangGraph 0pp · Relevance AI 0pp over 0 weekly runs.
Engine by engine
LangGraph leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | LangGraph | Relevance AI |
|---|---|---|---|
| Alternatives to the most popular AI agent platform | AI Mode | #1 | #6 |
| Best AI agent platform with AI features | ChatGPT | #4 | #3 |
| Official website of the top AI agent platform vendors | Perplexity | #13 | #18 |
Features, pricing & fit
| Dimension | LangGraph | Relevance AI |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | SaaS in US and EU regions, plus self-hosted and hybrid options available on Enterprise only. | — |
| Integrations | — | 2000+ |
| Compliance | SOC 2 Type II, ISO 27001:2022, GDPR, HIPAA | SOC 2, GDPR |
| Support | — | Embedded deployment team, Dedicated account manager on Enterprise plan |
| Founded | — | 2020 |
| Headquarters | San Francisco | San Francisco, California, United States |
| Employees | — | 51–200 |
| Funding | Series B | Series A (unconfirmed, reported by Signalbase) · $37M raised |
| Best for | Teams building long-running, stateful AI agents. | Enterprise teams in sales, customer success, marketing and HR that want non-technical staff to build and run their own agents. |
Plans side by side
LangGraph
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
LangGraph
- Production standard for stateful, multi-agent workflows
- Strong engineering control for complex, cyclical agent logic
- Widely adopted open-source developer framework
- Best choice for autonomous AI agents
- Heavy developer framework that requires coding effort
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, “LangGraph vs Relevance AI”, https://slateindex.ai/compare/langgraph-vs-relevance-ai, data of Nov 3, 2026. Licence: CC BY 4.0.