The Rasa Blog
Welcome to the new home of the Rasa Blog!
October 14th, 2025
Why AI Agent Architecture Matters More Than You Think: A Security Deep Dive
Lauren Goerz
In a Lakera Red Team test between a prompt-driven LLM agent and a Rasa process-based agent, Rasa’s structured approach held strong, with zero high-severity vulnerabilities, defined as those that compromise confidentiality, integrity, or safety.
October 14th, 2025
Rasa Agent Significantly Outperforms Prompt-Based LLM in Security Test
Lauren Goerz
Rasa Agent outperformed a prompt-driven LLM agent in every stress test in a recent study by AI security firm Lakera, finding no vulnerabilities in the categories of Information Disclosure and Data Leakage, Content Safety, and System and Infrastructure Attacks.
October 14th, 2025
Multi-Agents are Secretly Distributed Monoliths
Alan Nichol
This is the second in a series of posts on how Rasa handles orchestration, and how new protocols like MCP and A2A fit into the picture. In this second one, we discuss the “modules versus microservices” debate.
October 10th, 2025
Behind the Release Notes: Rasa Product Update Fall 2025
Lauren Goerz
Rasa 3.14 delivers autonomous steps in flows, MCP integration for external tools, voice latency tracing, barge-in support, and production deployment playbooks. Build conversational AI that's both intelligent and controllable.
October 7th, 2025
How to Build a Voicebot for Call Centers
Maria Ortiz
Explore how to build a voicebot for your call center using Rasa, and deliver automated support that reduces wait times while improving customer satisfaction.
October 2nd, 2025
What Is a Low Code Chatbot Platform?
Maria Ortiz
Discover how low code chatbot platforms help teams balance speed and customization when building scalable, flexible conversational assistants.
September 29th, 2025
How LLM Agents Work in Conversational AI
Maria Ortiz
Learn what LLM agents are, how they power conversational AI, and why flexible orchestration is key for enterprise adoption and scaling.
September 26th, 2025
A Beginner’s Guide to Fine-Tuning LLMs
Maria Ortiz
Fine-tuning helps tailor large language models for specific tasks. Learn how it works, when to use it, and what benefits it offers.
September 24th, 2025
How LLM Chatbot Architecture Works
Maria Ortiz
Explore the core components of LLM chatbot architecture and learn how teams use large language models to power flexible, intelligent assistants.
September 22nd, 2025
How to Use Speech Recognition in Call Centers
Maria Ortiz
Learn how to use speech recognition in your call center to transcribe calls, power voicebots, and enhance automation with Rasa’s conversational AI stack.
September 19th, 2025
What Is a Chatbot Conversation Flow?
Maria Ortiz
Learn how to design chatbot conversation flows that feel natural, reduce friction, and guide users through tasks efficiently while supporting scalable growth.
September 16th, 2025
How AI Is Transforming IVR Systems
Maria Ortiz
Explore how AI-powered IVR systems improve call routing, reduce wait times, and deliver more personalized, flexible customer service experiences.
September 12th, 2025
Building A Conversational AI Agent for Sourcing Motorcycles with RASA
Vladimir Preobrazhenskiy
The winner of our 2025 Rasa AI Agent Building Challenge shares the idea and implementation behind his idea for a motocycle sourcing conversational AI agent
September 4th, 2025
Orchestrating A2A and MCP with Rasa
Alan Nichol
Jane Lyu
In part one of a three-part series, we discuss how MCP/A2A standards help organizations navigate agent orchestration, using a banking assistant that helps a customer research, shop, and finance a car as an example. Read part two, about “modules versus microservices”,[here](https://rasa.com/blog/multi-agents-are-secretly-distributed-monoliths/).
August 7th, 2025
How Rasa is Building a Culture of Visible Growth
Sarah Rose
At Rasa, our career frameworks make growth clear, fair, and motivating. They define expectations, guide promotions, reduce bias, and support both employees and managers. With company-wide competencies and team-specific paths, we create a culture where feedback is meaningful and careers thrive.