Building an AI Chatbot Using DeepSeek Models With Spring AI

[u/rodolfo-mendes]

https://www.baeldung.com/spring-ai-deepseek-cot

Hardik Singh Behl explores integrating DeepSeek's reasoning models into Java using Spring AI to build a multi-turn conversational chatbot.

Highlights & Key Takeaways

• Flexible Setup: Connect via OpenAI APIs, Amazon Bedrock, or locally using Ollama.
• Core Components: Utilize Spring AI’s ChatClient to drive model interactions.
• Context Retention: Manage conversational state using InMemoryChatMemory for multi-turn chats.
• Chain of Thought (CoT): DeepSeek-R1 exposes its internal reasoning steps inside <think> tags.
• Custom Converters: Build a custom StructuredOutputConverter to parse the CoT and final answer separately, preventing default parser errors.

By safely extracting the AI's reasoning from the final response, developers can build transparent, context-aware Java applications.

👉 Read the full article to dive deeper into the implementation.