In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...
Abstract: This work investigates the application of Text-to-SQL techniques to improve access to industrial maintenance data using Large Language Models (LLMs) in Portuguese. We design and implement a ...
Traditional debuggers don't work (agents are non-deterministic) LangGraph Studio is great, but locked to LangGraph Multi-agent systems are impossible to debug ("which agent broke?") No production ...
This package lets your LangGraph agents remember conversations across restarts by storing their state in Neo4j. It's a TypeScript port of the Python langchain-neo4j checkpoint saver.
Abstract: The in-context learning capability of Large Language Models has achieved significant success in text-to-SQL task. Most existed approaches generally adopt a straightforward three-stage ...
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Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...
What if you could build an autonomous system that not only executes complex, long-running tasks but also adapts to evolving challenges with remarkable precision? Enter Deep Agents, a innovative ...
What if you could delegate your most complex research tasks to an AI that not only understands your objectives but also plans, executes, and refines its approach with precision? Enter Gemini 3, a ...
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