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LangChain

11 posts tagged LangChain, newest first.

rubyrailsai

RubyLLM vs Langchainrb for Rails

RubyLLM is a model client with Rails generators. Langchainrb is retrieval plumbing. Pick by whether you query your own documents, not by provider count.

· JetThoughts Team
rubylangchainrspec

Ruby LangChain Testing Guide 2025 | RSpec + WebMock

Test langchainrb code with RSpec and WebMock without calling OpenAI: stub the HTTP layer, check token counts, see which errors Faraday raises, and keep the gem from logging your API key.

aillmcost-optimization

How to Cut LLM Application Costs With Token Budgets

Where LLM spend actually goes: the fixed prompt you resend every call. Measure tokens from API usage, use prompt caching, batch what can wait, and cache identical requests.

ailangchainpython

LangChain Architecture for Production AI Agent Systems

Master LangChain architecture for production with Python. Complete guide with error handling, testing strategies, and working code examples for scalable AI agent systems.

LangChainConversational AILangChain Memory

LangChain Memory: Conversation History with Python

How to add memory to LangChain agents. Working Python examples for short-term, long-term, and entity memory. PostgreSQL and Redis persistence. Real production patterns.

· JetThoughts Team
ailanggraphlangchain

LangGraph Tutorial: AI Agents as State Machines in Python

Complete LangGraph tutorial with working Python examples. Learn nodes, edges, checkpoints, human-in-the-loop, and map-reduce patterns. From first graph to production agent.

LangChainCrewAIEnterprise AI

Taking LangChain and CrewAI Apps to Enterprise Production

Complete enterprise guide to scaling LangChain and CrewAI from prototype to production. Covers architecture patterns, security, compliance, monitoring, and real-world case study with 80% improvement metrics.

· JetThoughts Team
LLM testingLangChainAI monitoring

Testing and Monitoring LLM Applications in Production

How to test code that calls a language model: mock the client, check properties instead of exact strings, run a small eval set on every prompt change, and log tokens and timing for every call.

· JetThoughts Team
pythonlangchaindjango

LangChain Python Tutorial: Complete Guide

Learn LangChain Python with this comprehensive tutorial. Step-by-step guide with Django and FastAPI integration, production patterns, and 15+ working code examples. Build your first LLM app today.

rubyrailsai

Getting Started with LangChain-Ruby: A Complete Guide

Learn how to build AI-powered applications with LangChain-Ruby. Complete guide with working code examples, Rails integration, and production best practices for junior Ruby developers.

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