Imagine walking into Starbucks and ordinary your favorite coffee from a friendly Arun who remembers your name and preferences.
But what if I told you that this Arun isn’t a human? Welcome to the world of agentic framework, where chatbots are transforming customer service and beyond.
What is Agentic framework?
Agentic framework are software structure that helps developers to built brilliant and intelligent agents, like chatbots, that help to interact with humans and perform tasks in a flow. These frameworks provide tools that help chatbots to understand natural language, learn from interactions also exploring new situations.
Top Agentic Frameworks for Chatbots
1. LangChain
LangChain is an open source that framework allows developers to build languages based agents that interact with tools, databases, and APIs. With LangChain you can create chatbots that help you provide personalized responses and understand complex queries.
Example: A customer service chatbots built with LangChain can understand customer queries, “What’s the status order?” and it responds with a personalized update, your order #1105 is currently in transit and will arrive on Monday.
2. Rasa
Rasa is another open-source framework for building conversations with AI. It provides for building chatbots that can understand natural language and engage in multi-turn conversation.
Example: A travel chatbot built on Rasa can have conversation with a user, “What’s the weather like in Dubai? “ And respond with a follow-up question, “Are you planning a trip to Dubai? I can help you with hotel recommendations and flight booking.
3. Microsoft Bot Framework:
Microsoft Bot Framework is an inclusive platform for building communicative AI solutions. It provides a range of tools and many services that enable developers to built chatbots that can understand natural language and unify with various channels.
Example: A customer support chatbot built with Microsoft Bot Framework can understand customer’s query, “I have an issue accessing my page and respond with a personalized solution”, “Sorry to hear that, can you please provide me more details about the issue you are facing? I’ll do my best to guide you.”
Comparison and Key consideration:
When choosing a framework, consider the following key factors:
Conclusion:
Though the future of work is changing fast, agentic frameworks are at the lead of this shift. By automating routine tasks and freeing up creativity of human, these frameworks have the potential to transform industries and transform the way we work.