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Recent posts tagged langchain

Description for Tag: "langchain"

A framework for developing applications powered by language models.
Level UI • 20 hours • in Articles • 9 min read
An MCP server is not a new API. It is a thin layer over the one you already have
Somewhere in the last year, "do we need an MCP server?" joined the list of questions that arrive in a brief before anyone has said what the thing is for. It is usually framed as MCP vs API, as though the Model Context Protocol were a newer kind of AP...
post-cover-33074
  • ai
  • api
  • webdev
  • security
7 Reactions 7 Comments
Sabi Mantock • Oct 12 • in Articles • 3 min read
Learning LangChain
A while back I built Synapse, a small app that answers questions using my own notes. I did every part of it by hand: load the files, turn them into vectors, find the closest ones to the question, and hand those to an LLM. It worked, and I understood ...
post-cover-30850
  • langchain
  • rag
  • ai
5 Reactions 3 Comments
Alain Airom (Ayrom) • Sep 25 • in Articles • 3 min read
Deep Agents in Action: Building a Multi-Agent Research System (published)
I tested yet another implementation of a multi-agent orchestrator. The paradigm for AI agents is shifting rapidly from single, monolithic prompt loops to structured multi-agent systems capable of division of labor, state persistence, and fine-graine...
  • watsonx
  • bob
  • langchain
  • deepagents
0 Reactions 0 Comments
Tom Smithverified • Sep 21 • in Articles • 4 min read
LittleHorse Draws the Line Between What Your Agent Decides and What Your Code Must Execute
Picture the moment an AI agent gets triggered by an event — a support ticket, a queue message, a webhook — and has to reliably set off several things downstream in order. Most developers end up hand-wiring that themselves: retries, state tracking, a ...
post-cover-27867
  • agenticai
  • langchain
  • opensource
  • aiagents
4 Reactions 4 Comments
Basavaraj-Shepur • Aug 14 • in Articles • 2 min read
How to Catch an AI Agent Behaving Badly Before It Ships
AI agents fail in ways that aren't obvious during demos - they hallucinate tool calls, fabricate intermediate results, and sometimes take actions the user never approved. Catching this before users do is now a core part of agent development. The Pro...
post-cover-24656
  • aiagents
  • llms
  • python
  • langchain
1 Reactions 0 Comments
Josaphatstar • Jul 25 • in Articles • 7 min read
I Built a Local RAG Assistant with Ollama, ChromaDB and LangChain
During my internship at a software services company, I noticed a recurring problem: technicians spent hours searching through hundreds of pages of PDF manuals to answer client questions. The company deploys a suite of management tools accounting, HR,...
post-cover-23449
  • rag
  • llm
  • langchain
  • python
5 Reactions 3 Comments
Nitisha • Jul 10 • in Articles • 2 min read
LangChain Components
What are LangChain Components? LangChain Components are the individual building blocks provided by LangChain that work together to create AI-powered applications. Each component performs a specific task, such as generating responses, managing memory...
post-cover-22206
  • langchain
  • langchaincomponents
  • llm
  • beginners
0 Reactions 0 Comments
Nitisha • Jul 10 • in Articles • 2 min read
What is LangChain? A Detailed Explanation
LangChain is a powerful framework that solves a major headache in AI development: vendor lock-in. Why LangChain? When you build an application by calling an LLM's API directly like OpenAI's GPT or Google's Gemini, your code becomes tightly coupled t...
post-cover-22205
  • langchain
  • llm
  • detailed
6 Reactions 2 Comments
Divyam Patro • Jun 21 • in Articles • 5 min read
Memory in LLM Agents, Explained: From Stateless Calls to Long-Term Memory
Introduction Most explanations of agent memory start at the wrong altitude. They jump straight to "use a vector database" without explaining what problem that solves, or why a vector database is sometimes the wrong tool entirely. This post walks t...
post-cover-21074
  • ai
  • llm
  • langchain
  • langgraph
0 Reactions 0 Comments
Divyam Patro • Jun 14 • in Articles • 5 min read
Chunking vs Retrieval: A RAG Case Study on a Real Codebase
Introduction Most RAG discussions treat chunking and retrieval as separate concerns. Pick a chunk size, pick a retriever, tune k, done. What is less discussed is how much these decisions interact - specifically, how a bad chunking strategy can make...
  • rag
  • langchain
  • python
  • ai
7 Reactions 1 Comments
Posted in AI group
NILE GREEN • Jun 9 • in Discussions • 1 min read
ThermoMind + LangChain: Zero‑History Continuity Is Real
forumDiscussion group3 participants post-cover-20058
  • aiinhealthcare
  • llm
  • models
  • langchain
12 Reactions 3 Comments
Valerio Barbera • Apr 9 • in Articles • 7 min read
LangChain alternative for PHP developers
Finding a viable LangChain alternative for PHP has been a journey born of necessity and frustration. As a PHP developer for over fifteen years, I've witnessed our community adapt to countless technological shifts — from the LAMP stack to the rise of ...
post-cover-14321
  • php
  • webdev
  • ai
  • langchain
2 Reactions 0 Comments
Derrick Ryan • Jan 19 • in Articles • 10 min read
OCI Generative AI and LangChain: Building Enterprise AI Applications with Oracle
Integrating Oracle Cloud Infrastructure OCI Generative AI with LangChain unlocks powerful capabilities for building enterprise-grade AI applications. This comprehensive guide explores the official integration, demonstrates practical implementations, ...
post-cover-10026
  • oci-genai
  • langchain
  • rag
  • oracledatabase23ai
3 Reactions 1 Comments
Raj Kundalia • Jan 17 • in Tutorials • 5 min read
LangChain vs LangGraph vs LangSmith: Understanding the Ecosystem
> Building LLM apps isn’t just about prompts anymore. > It’s about composition, orchestration, and observability. TL;DR LangChain provides the foundational building blocks for creating LLM applications through modular components and a unified int...
post-cover-9900
  • langchain
  • langgraph
  • langsmith
6 Reactions 2 Comments
frankhumarang • Jan 8 • in Articles • 3 min read
You're Testing AI Agents Wrong (And You Don't Know It Yet)
Your evals are passing 100%. Your prompts are solid. Your agent works perfectly in testing. Then it hits production. An API adds 500ms of latency. Suddenly your agent times out. The LLM hallucinates malformed JSON. Your parser breaks. A prompt inje...
post-cover-9400
  • developer-tools
  • ai
  • ai-agents
  • langchain
6 Reactions 2 Comments
Promila Ghosh • Jul 18, 2025 • in Articles • 3 min read
GroqStreamChain: Revolutionizing Real-Time AI Chat with WebSocket and Groq
Introduction In the world of AI-powered chat applications, real-time communication and quick response times are crucial. GroqStreamChain is a project that combines cutting-edge technologies to create a seamless, low-latency chat system. This project...
post-cover-4137
  • web-socket
  • llm
  • langchain
  • streaming
6 Reactions 3 Comments
Methodox • May 16, 2025 • in Articles • 3 min read
Reflections on My Second LangChain Session: Hype, Substance, and Agentic Potential
Today marked my second time attending a LangChain talk. My first was at a previous company, and this time, I joined an ACM-invited session. Unfortunately, my impression hasn’t changed much. Like the last time, the presentation leaned more toward a ma...
  • langchain
  • divooka
  • llm
  • multi-agent
4 Reactions 1 Comments
Astra Bertelli • Jun 1, 2024 • in Tutorials • 7 min read
Build a Discord python assistant with plain Langchain
1. Introduction Discord is one of the most widespread instant-messaging services, especially when it comes to developers: its structure and internal organization into servers and channels made it easy to use with large community and extremely popula...
post-cover-309
  • python
  • development
  • discord-bot
  • langchain
6 Reactions 1 Comments
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