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LangChain

Framework for developing applications powered by language models with chains, agents, and memory capabilities for complex AI workflows.

LangChain

Comprehensive framework for building LLM-powered applications. Provides tools for chaining operations, managing prompts, and creating intelligent agents.

Key Features

  • Chains: Connect multiple LLM calls
  • Agents: Autonomous decision-making
  • Memory: Conversation context management
  • Retrieval: RAG and vector search integration
  • Tools: Extensible plugin system

My Experience

Built RAG systems and intelligent agents using LangChain for astronomical data analysis and multi-step reasoning workflows.