LangChainThe open agent platform to own your intelligence
vs
RasaBuild agents your company brags about
Comparison · AI Agents · weekly run Nov 3
LangChain vs Rasa
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 2.4 for Rasa, and ranks ahead in 100% of the answers that name both.
Choose LangChain if…
- You want the brand AI engines rank higher (10.4 vs 2.4)
- You prefer a larger, established vendor (201–500 employees)
- Per seat pricing suits your budget better than flat tiers
- Stateful multi-agent orchestration via state graphs
Choose Rasa if…
- Flat tiers pricing suits your budget better than per seat
AI visibility side by side
Latest weekly run · Nov 3
| Metric | LangChain | Rasa |
|---|---|---|
| Visibility score | 10.4% | 2.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #12 | #36 |
| Share of voice | 2.7% | 0.4% |
| Mentions this run | 18 | 3 |
| Positive in AI answers | 17% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
LangChain 0pp · Rasa 0pp over 0 weekly runs.
Engine by engine
LangChain leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
LangChainRasa
Head to head in AI answers
1 engine answers name both brands
1LangChain ranked higher
0Rasa ranked higher
| Prompt | Engine | LangChain | Rasa |
|---|---|---|---|
| Official website of the top AI agent platform vendors | Perplexity | #12 | #17 |
Features, pricing & fit
| Dimension | LangChain | Rasa |
|---|---|---|
| Pricing model | Per seat | Flat tiers |
| Entry price | Free; paid from $39 per seat / mo | Contact sales |
| Free plan | Yes | Yes |
| Deployment | Cloud (SaaS), hybrid (SaaS control plane with self-hosted data plane), or self-hosted in the customer's VPC | Self-managed on-premises or private cloud, or managed service |
| Support | Community forum, Support portal, Email support, Slack | Free community support in the forum, Basic support via online portal with best-effort response during business hours, Premium Support with 24/7/365 response, Customer Success Manager and business reviews |
| Founded | 2023 | 2016 |
| Headquarters | San Francisco, CA, United States | San Francisco, CA, United States |
| Employees | 201–500 | 51–200 |
| Funding | Series B, led by IVP | Series C · $70M raised |
| Best for | Teams building agents that need control over models, context, memory and deployment, and the ability to test, govern and improve them in production | Product teams in regulated enterprises that want engineers and business teams to build customer-facing AI agents on one codebase |
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
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
Rasa
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “LangChain vs Rasa”, https://slateindex.ai/compare/langchain-vs-rasa, data of Nov 3, 2026. Licence: CC BY 4.0.