Tool calling allows large language models (LLMs) to work with external tools by following user-defined instructions, enabling you to turn existing data into structured information or linking tools into workflows.
Flows Engine makes this process easier by offering ways to turn your existing data sources, such as databases and APIs, into tools, and then connect to those tools from different frameworks for building AI applications such as LangChain and LangGraph.
Agents are like AI helpers built to handle specific tasks. To complete these tasks they rely on tool calling.
Join IBM Technical Product Manager Roy Derks as he shows you how to build a tool calling agent using LangGraph and watsonx Flows Engine.
See the full tutorial on IBM Developer: https://developer.ibm.com/tutorials/awb-build-tool-calling-agents-with-langgraph-and-flows-engine/
____________________________________________
IBM Developer — write better code, boost your skills, and build something new: https://ibm.biz/ibm-developer-yt
Subscribe to see more developer content: https://ibm.biz/ibm-developer-yt-subscribe
Follow IBM Developer on LinkedIn: https://ibm.biz/ibm-developer-linkedin-yt
More from IBM Developer:
Community: https://community.ibm.com/community/user/community
Blog: https://developer.ibm.com/blogs/
Call for Code: https://developer.ibm.com/callforcode/
#AI
#virtualagent
#IBMDeveloper
#Developer
#Coding