Rasa

Rasa

Rasa Technologies
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About

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

About

Rasa is the leader in generative conversational AI, empowering enterprises to optimize customer service processes and reduce costs by enabling next-level AI assistant development and operation at scale. The platform combines pro-code and no-code options, allowing cross-team collaboration for smarter and faster AI assistant building and significantly accelerating time-to-value. Through its unique approach, Rasa transparently leverages an LLM-native dialogue engine, making it a reliable and innovative partner for enterprises seeking to significantly enhance their customer interactions with seamless conversational experiences. Rasa provides the data privacy, security, and scalability that Fortune 500 enterprise customers need.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers seeking a solution to derive insights from unstructured text using Google machine learning

Audience

Organizations that want to build next-level conversational AI experiences.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

New customers get up to $300 in free credits to try Google Cloud products
Free Version
Free Trial

Pricing

Free and open source
Three-tier subscription options - Developer Edition, Growth, & Enterprise.

One Platform for automating conversational experiences. Start with Rasa Pro, or combine our pro-code infrastructure and no-code UI Rasa Studio for conversational AI teams to unlock the full platform.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 4.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

Pros & Cons from Real Users

Pros

  • The Google Cloud Natural Language API excels in its accuracy and speed when processing large amounts of text. It's incredibly easy to integrate with existing systems, thanks to comprehensive documentation and SDKs for multiple languages. The sentiment analysis and entity recognition features are particularly strong, allowing for nuanced understanding of customer feedback, social media, and other unstructured data. Its real-time processing capabilities also make it a great choice for applications that require live data handling. Plus, it's scalable, handling everything from small projects to enterprise-level workloads effortlessly.

Cons

  • While the API is feature-rich, the cost can add up quickly for large-scale operations, especially for companies dealing with massive data. Additionally, while the pre-built models work well for general tasks, they might not perform as accurately in niche industries or specialized use cases without further customization. The dashboard interface is a bit basic, and additional analytics tools could enhance the user experience.

Pros & Cons from Real Users

Pros

  • Open-source, free, privacy, great community, regular updates, easy to set up, a large number of examples and learning source available, multiple channels to get your issue resolved like git, community, youtube office hour.

Cons

  • We have not tested the limits of it yet, so everything is great, the documentation certainly needs work, getting up and running is easy but fine-tuning and specific nuances take times to figure out.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
cloud.google.com/natural-language

Company Information

Rasa Technologies
Founded: 2016
Germany
rasa.com

Alternatives

Semantria

Semantria

Lexalytics

Alternatives

Categories

Categories

Data Extraction Features

Disparate Data Collection
Document Extraction
Email Address Extraction
Image Extraction
IP Address Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Generation Features

Business Intelligence
Chatbot
CRM Data Analysis and Reports
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content

Natural Language Processing Features

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis Features

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining Features

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Chatbot Features

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI Features

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Integrations

AudioCodes Software-Defined Voice Network
Dimension Labs
Facebook Messenger
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini Enterprise Agent Platform
Gemini Nano
Gemini Pro
Genesys Cloud CX
Google AI Plus
Google Cloud AutoML
Google Cloud Platform
Google Cloud Speech-to-Text
Google Cloud Vision AI
Health Studio
PubNub
Unremot
n8n

Integrations

AudioCodes Software-Defined Voice Network
Dimension Labs
Facebook Messenger
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini Enterprise Agent Platform
Gemini Nano
Gemini Pro
Genesys Cloud CX
Google AI Plus
Google Cloud AutoML
Google Cloud Platform
Google Cloud Speech-to-Text
Google Cloud Vision AI
Health Studio
PubNub
Unremot
n8n
Claim Google Cloud Natural Language API and update features and information
Claim Google Cloud Natural Language API and update features and information
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