# agentic AI applications

An artificial intelligence system that uses autonomous, goal-driven agents to perform multistep tasks with limited human supervision.

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## Agent Development with CockroachDB using the LangChain Framework

DevFeed: [Agent Development with CockroachDB using the LangChain Framework](<https://devfeed.tech/articles/agent-development-with-cockroachdb-using-the-langchain-framework-23731.md>)

Original publisher: [Read original article](<https://cockroachlabs.com/blog/agent-development-cockroachdb-langchain>)

Author: David Bressler

Published: 2026-02-26T00:00:00Z

Content type: release

Language: en

Sources: [Cockroach Labs](<https://devfeed.tech/sources/cockroach-labs.md>)

Topics: [CockroachDB](<https://devfeed.tech/topics/cockroachdb.md>), [LangChain](<https://devfeed.tech/topics/langchain.md>), [agentic AI applications](<https://devfeed.tech/topics/agentic-ai-applications.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Python](<https://devfeed.tech/topics/python.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Retrieval-Augmented Generation](<https://devfeed.tech/topics/retrieval-augmented-generation.md>)

Tags: [agentic-ai-applications](<https://devfeed.tech/tags/agentic-ai-applications.md>), [cockroachdb](<https://devfeed.tech/tags/cockroachdb.md>), [langchain](<https://devfeed.tech/tags/langchain.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [pgvector](<https://devfeed.tech/tags/pgvector.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [python](<https://devfeed.tech/tags/python.md>), [retrieval-augmented-generation](<https://devfeed.tech/tags/retrieval-augmented-generation.md>)

### AI overview

CockroachDB describes its integration with LangChain for building production-oriented agentic AI applications in Python. The integration supports CockroachDB as a vector source and helps connect language models with CockroachDB data for retrieval and other multi-step application workflows.

### Source excerpt

Recently we launched an integration with LangChain, the most popular orchestration framework for developing applications with large language models, to simplify development of production-ready agentic AI applications with CockroachDB. This integration provides out-of-the-box support for CockroachDB as a vector source for any LangChain user using LangChain Python.

## A Mental Model for How Agentic AI Applications Work

DevFeed: [A Mental Model for How Agentic AI Applications Work](<https://devfeed.tech/articles/making-friends-with-agents-a-mental-model-for-agentic-ai-applications-35697.md>)

Original publisher: [Read original article](<https://temporal.io/blog/a-mental-model-for-agentic-ai-applications>)

Author: Cornelia Davis

Published: 2025-06-04T00:00:00Z

Content type: tutorial

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [agentic AI applications](<https://devfeed.tech/topics/agentic-ai-applications.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Tool](<https://devfeed.tech/topics/tool.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [developers](<https://devfeed.tech/tags/developers.md>), [llms](<https://devfeed.tech/tags/llms.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>), [tools](<https://devfeed.tech/tags/tools.md>)

### AI overview

This developer article presents a mental model for agentic AI applications. It explains how an LLM determines an application's next steps, how agents invoke tools, and how an event loop continues until the goal is reached or the user stops it.

### Source excerpt

Demystify agentic AI: Cornelia Davis offers a clear mental model for developers on how AI agents work, integrating LLMs, tools, prompts, and durable loops.