LlamaIndexTurn any document into agent-ready context.
vs
RasaBuild agents your company brags about
Comparison · AI Agents · weekly run Nov 3
LlamaIndex vs Rasa
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Rasa is the stronger AI pick in AI Agents: it has a visibility score of 2.4 versus 2.2 for LlamaIndex.
Choose LlamaIndex if…
- You need SOC 2 Type II or GDPR or HIPAA coverage
- Usage-based pricing suits your budget better than flat tiers
- Premier choice for RAG-centric agents
- Named as a popular agent development framework
Choose Rasa if…
- You want the brand AI engines rank higher (2.4 vs 2.2)
- You need a self-hosted or on-premises option
- You prefer a larger, established vendor (51–200 employees)
- Flat tiers pricing suits your budget better than usage-based
AI visibility side by side
Latest weekly run · Nov 3
| Metric | LlamaIndex | Rasa |
|---|---|---|
| Visibility score | 2.2% | 2.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #41 | #36 |
| Share of voice | 0.8% | 0.4% |
| Mentions this run | 5 | 3 |
| Positive in AI answers | 20% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
LlamaIndex 0pp · Rasa 0pp over 0 weekly runs.
Engine by engine
Rasa leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
LlamaIndexRasa
Head to head in AI answers
0 engine answers name both brands
0LlamaIndex ranked higher
0Rasa ranked higher
Features, pricing & fit
| Dimension | LlamaIndex | Rasa |
|---|---|---|
| Pricing model | Usage-based | Flat tiers |
| Entry price | Free; paid from $50 / mo | Contact sales |
| Free plan | Yes | Yes |
| Deployment | LlamaParse runs as SaaS on a secure cloud tenant, or can be deployed in a customer's private VPC across cloud providers. | Self-managed on-premises or private cloud, or managed service |
| Compliance | SOC 2 Type II, GDPR, HIPAA | — |
| Support | Community, Basic (email), Priority (Slack Connect), Dedicated | 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 | — | 2016 |
| Headquarters | San Francisco, California, United States | San Francisco, CA, United States |
| Employees | 11–50 | 51–200 |
| Funding | Strategic minority equity investments (Databricks, KPMG) · $28M raised | Series C · $70M raised |
| Best for | Teams in document-heavy industries such as finance, insurance, healthcare and manufacturing that need accurate parsing of complex tables, charts and scanned pages. | Product teams in regulated enterprises that want engineers and business teams to build customer-facing AI agents on one codebase |
Plans side by side
Pros and cons
Themes from the AI answers that mention each brand
LlamaIndex
- Premier choice for RAG-centric agents
- Named as a popular agent development framework
Rasa
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “LlamaIndex vs Rasa”, https://slateindex.ai/compare/llamaindex-vs-rasa, data of Nov 3, 2026. Licence: CC BY 4.0.