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Understanding LangChain4j’s Modular Architecture: Core, Tools & Integrations

  • LangChain4j is a Java-based library for integrating large language models (LLMs) into applications.
  • The library has a modular structure allowing developers to choose components based on their needs.
  • The core module (langchain4j-core) provides essential abstractions like ChatModel and EmbeddingStore.
  • The main module (langchain4j) builds on the core with utilities like Document Loaders and AI Services.
  • Integration modules (langchain4j-{provider}) offer optional third-party integrations like LLM Providers and Embedding Stores.
  • LangChain4j aims to simplify LLM integration while providing flexibility for different use cases.
  • The library is designed for anything from basic LLM interactions to complex AI-augmented workflows.
  • Overall, the modular architecture of LangChain4j balances simplicity and flexibility.
  • Developers can customize dependencies based on their project requirements.
  • Understanding the structure helps in tailoring the library for lightweight LLM calls or advanced AI applications.

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