Rasa Open Source

v3.x

Rasa Technologies

Agentnlpconversationalopen-source
82
Strong
About This Agent

Leading open-source conversational AI framework for building contextual assistants and chatbots. Provides full control over NLU, dialogue management, and deployment with on-premises and cloud options.

Last Evaluated: November 9, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
intent classification

Intent accuracy benchmarking

Evidence
Rasa NLUCustomizable NLU pipeline with multiple classifiers
highVerified: 2025-11-09
dialogue management

Conversation flow testing

Evidence
Rasa CoreMachine learning-based dialogue policies and story-based training
highVerified: 2025-11-09
entity extraction

Entity extraction testing

Evidence
Entity ExtractorsMultiple entity extractors (CRF, DIET, SpaCy, Duckling)
highVerified: 2025-11-09
custom actions

Custom action testing

Evidence
Custom ActionsFull Python SDK for custom business logic and API calls
highVerified: 2025-11-09
context handling

Context retention testing

Evidence
Slot ManagementSlot-based context tracking with influence on dialogue
mediumVerified: 2025-11-09
latency

Performance benchmarking

Evidence
PerformanceLatency depends on infrastructure and model complexity
mediumVerified: 2025-11-09
🛡️Security
+
self hosted control

Deployment security assessment

Evidence
Deployment OptionsFull control with on-premises or private cloud deployment
highVerified: 2025-11-09
authentication

Authentication capabilities review

Evidence
Security FeaturesToken-based authentication, requires custom implementation
mediumVerified: 2025-11-09
data privacy

Data flow analysis

Evidence
Open SourceAll data stays on your infrastructure, no third-party sharing
highVerified: 2025-11-09
open source transparency

Open source assessment

Evidence
GitHub RepositoryApache 2.0 license, 18k+ stars, full source code available
highVerified: 2025-11-09
encryption

Security features review

Evidence
DocumentationEncryption implementation is user's responsibility
mediumVerified: 2025-11-09
🔒Privacy & Compliance
+
data retention

Privacy architecture review

Evidence
Tracker StoreFull control over conversation storage and retention
highVerified: 2025-11-09
gdpr compliance

Compliance capabilities assessment

Evidence
Self-HostedGDPR compliance achievable with proper configuration
highVerified: 2025-11-09
on premise deployment

Deployment options assessment

Evidence
DeploymentComplete on-premises deployment with no external dependencies
highVerified: 2025-11-09
pii handling

PII protection assessment

Evidence
PIIEntityExtractorPII detection available, anonymization requires custom actions
mediumVerified: 2025-11-09
no data sharing

Data flow analysis

Evidence
Open Source ModelNo telemetry or data sharing with third parties
highVerified: 2025-11-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
Rasa DocsExcellent documentation with tutorials and best practices
highVerified: 2025-11-09
open source code

Open source assessment

Evidence
GitHubApache 2.0, 18k+ stars, active community contributions
highVerified: 2025-11-09
conversation debugging

Debugging tools assessment

Evidence
Debug ModeInteractive learning and conversation debugging tools
highVerified: 2025-11-09
community support

Community engagement analysis

Evidence
CommunityActive forum, Discord, and community contributions
highVerified: 2025-11-09
explainability

Explainability features assessment

Evidence
Policy InsightsPolicy confidence scores available but limited explainability
mediumVerified: 2025-11-09
⚙️Operational Excellence
+
ease of integration

Integration complexity assessment

Evidence
ConnectorsBuilt-in connectors for Slack, Facebook, Telegram, REST API
highVerified: 2025-11-09
scalability

Scalability testing

Evidence
Scaling GuideHorizontal scaling possible with container orchestration
mediumVerified: 2025-11-09
cost predictability

Pricing model analysis

Evidence
Open SourceFree open source, costs only for infrastructure
highVerified: 2025-11-09
monitoring

Monitoring features assessment

Evidence
MonitoringBasic metrics endpoint, requires external monitoring tools
mediumVerified: 2025-11-09
production readiness

Production readiness assessment

Evidence
Deployment GuideRequires DevOps expertise for production deployment
mediumVerified: 2025-11-09
training pipeline

Training capabilities assessment

Evidence
TrainingFlexible training pipeline with customizable components
highVerified: 2025-11-09
Strengths
  • +Open source (Apache 2.0) with complete control over code and data
  • +On-premises deployment option for maximum privacy and compliance
  • +No vendor lock-in or usage-based pricing, only infrastructure costs
  • +Highly customizable NLU pipeline and dialogue policies
  • +Active community with 18k+ GitHub stars and extensive resources
  • +Machine learning-based dialogue management for contextual conversations
Limitations
  • !Requires significant ML and DevOps expertise for deployment
  • !Limited enterprise features out-of-box (auth, monitoring, analytics)
  • !Steeper learning curve compared to managed cloud services
  • !Production deployment and scaling requires infrastructure knowledge
  • !No built-in analytics dashboard, requires external tools
  • !Training data quality critical for good performance
Metadata
license: Apache 2.0
supported models
0: DIET
1: TED Policy
2: Transformer Embedding Dialogue
programming languages
0: Python
deployment type: Self-hosted (on-premises, cloud, containers)
tool support
0: Custom actions (Python)
1: REST API
2: Webhooks
pricing model: Free open source (Rasa Pro available for enterprise)
github stars: 20700+
first release: 2016
supported channels: Slack, Facebook, Telegram, Web, Custom REST
enterprise version: Rasa Pro (commercial license available)
pricing: Free Developer Edition (1,000 conversations/month), Entry-level from $100-500, Rasa Pro from $35,000+
version: 3.x

Use Case Ratings

customer support

Excellent for custom support bots with full control

code generation

Not designed for code generation use cases

research assistant

Conversational focus, limited research capabilities

data analysis

Can integrate with analytics via custom actions

content creation

Focused on conversations, not content generation

education

Good for educational chatbots with customization

healthcare

On-premises deployment ideal for HIPAA compliance

financial analysis

Self-hosted option meets compliance requirements

legal compliance

Would need significant custom development

creative writing

Not optimized for creative tasks