cd/entity/LangChain· home entities LangChain
grep -l @langchain /news/*.json | wc -l → 409

LangChain

mentions 409 type Organization page 5/21 feed RSS

// recent coverage 409 mentions

16:08
2026-07-15
newsletter.pragmaticengineer.com
artificial-intelligence

Context engineering with Dex Horthy

Dex Horthy, CEO and cofounder of HumanLayer, coined the term 'context engineering' and shared lessons from building AI agents, including that shipping unread code leads to disaster within months after…

15:32
2026-07-14
dev.to
large-language-models

Build a Local LLM Chatbot with Ollama and Python

A developer built a local LLM chatbot using Ollama and Python, enabling offline, private AI interactions without API keys or cloud dependencies. The project leverages Ollama to run models like Llama 3…

13:47
2026-07-14
dev.to
artificial-intelligence

Building a Robust RAG Pipeline Architecture for Production

A developer built a modular RAG pipeline architecture for production, using Docker containers on Cloud Run, with external configuration to swap components. The pipeline uses 500-character chunks with …

07:16
2026-07-14
dev.to
ai-agents

Amazon Bedrock AgentCore Guide: Production AI Agents (2026)

Amazon Bedrock AgentCore, which crossed 2 million SDK downloads in its first five months and reached general availability across core components in Q1 2026, is AWS's managed infrastructure platform fo…

01:36
2026-07-14
dev.to
ai-agents

You're Optimizing the Part of Your Agent You Don't Own

A developer argues that the AI model is a rental and the harness—the scaffolding around it—is where developers should focus their optimization efforts. LangChain moved a coding agent from rank 30 to t…

00:00
2026-07-14
1password.com
ai-agents

Why agents that pass tests fail in production

Adarsh Hiremath, Co-founder and CEO of Mercor, said on Zero-Shot Learning that many enterprise teams move agents to production without ensuring they are calibrated to specific use cases, leading to fa…

20:28
2026-07-12
gladlabs.io
artificial-intelligence

The Echo Chamber Problem, From the Inside

A team fixing two content tasks that returned off-topic garbage discovered their retrieval-augmented generation (RAG) system was reinforcing its own mistakes. The root cause was an inconsistently appl…

19:22
2026-07-12
dev.to
artificial-intelligence

I Built a Simple RAG App with LangChain, OpenAI, and Pinecone

A developer built a simple Retrieval-Augmented Generation (RAG) application using LangChain, OpenAI embeddings, and Pinecone. The app ingests text documents by splitting them into chunks, converting t…

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