How Developers Are Building Smarter Systems
Blog post from SingleStore
Agentic AI represents a transformative approach to application development, where artificial intelligence systems are designed to make decisions, take actions, and collaborate to solve complex problems beyond merely responding to prompts. This concept is exemplified through various implementations in the SingleStore ecosystem, such as chatbots that utilize long-term memory and goal-setting logic, and multi-agent frameworks that coordinate specialized agents to communicate and validate each other's work. Tutorials demonstrate the construction of agentic AI systems using SingleStore Jobs, Python Notebooks, and AutoGen, highlighting the benefits of using a vector database for efficient data retrieval and the integration of advanced technologies like AWS Bedrock and Google Vertex AI. These applications illustrate the potential of agentic AI to revolutionize real-time interactions and enterprise-grade applications, supported by SingleStore Helios' scalable, container-based infrastructure that eliminates the need for manual provisioning, showcasing the practical and scalable nature of agentic AI in modern development.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 19 | 2,986 | 597 | 186 | +11% |
| Multi-agent systems | 5 | 304 | 102 | 58 | -28% |
| RAG | 4 | 1,269 | 226 | 100 | +12% |
| Real-time | 3 | 5,401 | 1,154 | 263 | -1% |
| Vector Search | 3 | 1,760 | 288 | 124 | -14% |
| Data Pipeline | 2 | 586 | 172 | 80 | +19% |
| LLM | 2 | 4,566 | 738 | 226 | -7% |
| Local AI | 1 | 21 | 17 | 16 | -5% |
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