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AI / LangChain4j interview questions

What LLM providers does LangChain4j support and how do you switch between them?

LangChain4j supports a wide range of LLM providers, both cloud-based and local, through its modular dependency design. Each provider is a separate Maven module that implements the core ChatLanguageModel and optionally EmbeddingModel, StreamingChatLanguageModel, and ImageModel interfaces.

LangChain4j LLM Provider Support
ProviderArtifactNotable Models
OpenAIlangchain4j-open-aiGPT-4o, GPT-4 Turbo, o1, o1-mini
Azure OpenAIlangchain4j-azure-open-aiOpenAI models on Azure endpoints
Anthropiclangchain4j-anthropicClaude 3.5, Claude 3 Opus/Sonnet/Haiku
Google Vertex AIlangchain4j-vertex-ai-geminiGemini 1.5 Pro, Gemini 1.5 Flash
Mistral AIlangchain4j-mistral-aiMistral Large, Codestral
Ollamalangchain4j-ollamaLlama 3, Mistral, Phi-3 (local)
HuggingFacelangchain4j-hugging-faceOpen-source models via HF Inference
Amazon Bedrocklangchain4j-bedrockClaude, Llama on Bedrock
Groqlangchain4j-open-ai (compatible)OpenAI-compatible fast inference

Switching providers is entirely a configuration concern — your AI Services interface and application logic do not change:

// OpenAI
ChatLanguageModel model = OpenAiChatModel.builder()
    .apiKey("sk-...").modelName("gpt-4o").build();

// Switch to Anthropic — same interface, different builder
ChatLanguageModel model = AnthropicChatModel.builder()
    .apiKey("sk-ant-...").modelName("claude-3-5-sonnet-20241022").build();

// Same AI Services usage for both
Assistant assistant = AiServices.builder(Assistant.class)
    .chatLanguageModel(model).build();

What needs to change in your AI Services interface code when switching from OpenAI to Anthropic in LangChain4j?
Which provider allows you to run LLMs locally on your own machine with no API costs or internet access?

More Related questions...

What is LangChain4j and what problem does it solve for Java developers? What are the core modules of LangChain4j? What is the AI Services feature in LangChain4j and how do you define one? How does ChatMemory work in LangChain4j and what types are available? What is Retrieval-Augmented Generation (RAG) in LangChain4j and how do you build a pipeline? What are Tools in LangChain4j and how does tool calling work? How do you integrate LangChain4j with Spring Boot? What is the EmbeddingModel in LangChain4j and which providers are supported? What EmbeddingStores does LangChain4j support and how do you choose one? What is document splitting in LangChain4j and why is it necessary? What is the @SystemMessage and @UserMessage annotation in LangChain4j AI Services? How does streaming work in LangChain4j and when should you use it? What is the ContentRetriever and RetrievalAugmentor in LangChain4j advanced RAG? How does LangChain4j handle structured output from LLMs? What is the PromptTemplate in LangChain4j and how does it differ from @UserMessage? What LLM providers does LangChain4j support and how do you switch between them? What is an Agent in LangChain4j and how does it differ from a simple AI Services call? How do you implement multi-turn conversation with memory per user in a Spring REST API using LangChain4j? What is the ImageModel in LangChain4j and which providers support image generation? How do you handle errors and retries in LangChain4j? How do you test LangChain4j AI Services without making real LLM API calls? What is the DocumentLoader API in LangChain4j and what sources does it support? What is the @Moderate annotation in LangChain4j and how does content moderation work? How does LangChain4j support vision (multi-modal) LLMs that accept images as input? What is the difference between synchronous and asynchronous execution in LangChain4j? What is LangChain4j's support for Quarkus and how does it differ from Spring Boot integration? How does LangChain4j implement the ReAct agent pattern and what are its limitations? What is the ModerationModel interface in LangChain4j and how can you implement a custom one? What is the Tokenizer interface in LangChain4j and why does it matter for memory management? How do you persist ChatMemory across application restarts in LangChain4j? What are the best practices for prompt engineering within LangChain4j AI Services? How does LangChain4j integrate with observability tools like OpenTelemetry? What is the InMemoryEmbeddingStore and when should you migrate to a real vector database? What are common LangChain4j anti-patterns to avoid in production applications? How does LangChain4j support multi-modal input processing for audio or documents beyond text and images? How do you implement a custom Tool with complex parameter types in LangChain4j? What is the HypotheticalDocumentEmbedder (HyDE) technique and how does LangChain4j support it? How do you handle LLM output parsing failures gracefully in LangChain4j? What is LangChain4j's support for graph-based RAG or knowledge graph integration? What is the LangChain4j EvaluationResult API and how do you measure RAG pipeline quality?
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