The article presents six specialized tools for AI development beyond common frameworks like LangChain and LlamaIndex. These tools address specific needs in AI development, from structured outputs and
integrations to monitoring and local model deployment.
Reasons to Read -- Learn:
practical, lesser-known tools that can enhance your AI development workflow, including Instructor for type-safe outputs and Composio for integrating with over 250 third-party services
how to effectively monitor and debug AI applications using tools like AgentOps, which can track token usage and measure response times with just two lines of code
low-code solutions for AI development, such as LangFlow's drag-and-drop interface for building RAG applications and agent workflows, complete with pre-built templates