27 Aug 2026 · 15 articles
Managed Deep Agents and LLM Gateway hit public beta, plus Deep Agents v0.7, Tuned Evaluators, Bring Your Own Cloud on AWS, and LangSmith Engine upgrades.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
Deep dive into self-improving evaluators in LangSmith, motivated by the rise of LLM-as-a-Judge evaluators plus research on few-shot learning and aligning human preferences.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
See how Replit built their agents atop LangGraph and integrated LangSmith to pinpoint issues, improve the performance of their agents, and enable human-in-the-loop workflows.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
Dive into LangSmith product usage patterns that show how the AI ecosystem and the way people are building LLM apps is evolving.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
LangSmith LLM Gateway is in public beta: spend caps, rate limits, model fallbacks and PII redaction for production agents, without provider lock-in.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
LangChain and NVIDIA launch the NemoClaw Deep Agents blueprint, combining Deep Agents Code, Nemotron 3 Ultra, and OpenShell for open, governed enterprise agents.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
Discover how developers build LLM applications in 2023. Insights on popular models, vectorstores, retrieval strategies, and testing methods from LangSmith.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
Why LangChain believes in open, customizable cognitive architectures over closed systems. Build reliable LLM agents with OpenGPTs and LangSmith.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
Discover Connery: open-source plugin infrastructure for LLM apps. Secure integrations, personalization, and human-in-the-loop control for AI agents.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
Explore how LangChain implements autonomous agents like AutoGPT and BabyAGI. Learn about planning techniques, memory systems, and agent simulations.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
Build better Q&A systems for CSV data using LangChain agents, retrieval, and LLM evaluation. Includes benchmarks, debugging insights, and open-source code.
Summary published by LangChain Blog · 26 Aug 2026 · Read the original ↗
Learn context engineering: building dynamic systems that provide LLMs the right information, tools, and format to reliably accomplish tasks.
Summary published by LangChain Blog · 25 Aug 2026 · Read the original ↗
Build multi-modal RAG apps for slide decks using GPT-4V. Compare approaches, evaluate with benchmarks, and deploy with LangChain templates for visual Q&A.
Summary published by LangChain Blog · 25 Aug 2026 · Read the original ↗
LangChain and Fireworks fine-tuned an open model to mine perceived error signals from production traces, matching frontier model performance at a fraction of the cost.
Summary published by LangChain Blog · 21 Aug 2026 · Read the original ↗