Building agents with Google Gemini and open source frameworks
Blog post from Google Cloud
AI agents, which perceive, decide, and act to reach specific goals, are gaining traction, with Google's Gemini models offering a robust foundation for their development. These models excel in advanced reasoning, multimodality, and function calling, crucial for creating sophisticated agents. Developers can harness open-source frameworks like LangGraph, CrewAI, LlamaIndex, and Composio to build versatile applications, each offering unique strengths. LangGraph is ideal for stateful, multi-actor workflows; CrewAI optimizes multi-agent collaboration; LlamaIndex focuses on knowledge agents through data integration; and Composio simplifies API interactions, leveraging Gemini's capabilities for real-world tasks. Selecting the appropriate framework and utilizing best practices such as iterative development and effective prompt engineering are key steps in building effective AI agents with Gemini models.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 6 | 2,765 | 513 | 191 | -1% |
| LLM | 3 | 4,765 | 703 | 217 | -5% |
| Multi-agent systems | 2 | 210 | 86 | 47 | -70% |
| Data Pipeline | 1 | 598 | 212 | 93 | -23% |
| RAG | 1 | 1,074 | 203 | 97 | -44% |
| Vector Search | 1 | 1,813 | 344 | 145 | -25% |
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