Spring AI vs LangChain vs OpenAI SDK | Senior Java Interview | Day 2 | SRWebTech

Описание: 🔥 Spring AI Interview Series – Day 2 for Senior Java Developers | SRWebTech

Welcome to *SRWebTech**! In this video, we compare **Spring AI vs LangChain vs OpenAI SDK* from a **senior Java interview and enterprise architecture perspective**. This is a very common question asked for **10+ years experienced Java developers**, Spring Boot engineers, and backend architects.

🧠 1️⃣ REAL-TIME DEFINITION (INTERVIEW LEVEL)

🔹 Spring AI
• Spring-native framework
• Built for enterprise Java & Spring Boot
• Focuses on abstractions, configuration, and scalability

🔹 LangChain
• Framework mainly for Python
• Focuses on AI workflows, chains, and agents
• Popular for rapid AI prototyping

🔹 OpenAI SDK
• Low-level vendor SDK
• Direct API calls to OpenAI
• No enterprise abstraction

❌ 2️⃣ REAL PROBLEM (WHY THIS QUESTION IS ASKED)

In senior-level interviews, companies want to evaluate:
• Can you choose the right AI tool?
• Do you understand enterprise trade-offs?
• Can you avoid vendor lock-in?

Many candidates answer:
“We used OpenAI SDK directly”

❌ This indicates junior-level thinking.

✅ 3️⃣ SOLUTION (SENIOR-LEVEL ANSWER)

📌 When to use what:
• Spring AI → Enterprise Java, Spring Boot, Microservices
• LangChain → Python AI workflows, research, agents
• OpenAI SDK → Simple demos, PoC, quick scripts

👉 *Senior Interview Answer (VERY IMPORTANT):*
“In enterprise Java systems, Spring AI is preferred because it provides vendor-neutral, Spring-style abstractions.”

🏢 4️⃣ REAL-WORLD USE CASE (COMPANY SCENARIO)

Scenario:
A company builds an AI-powered customer support system using Java microservices.

Decision:
❌ OpenAI SDK → tight coupling, hard to scale
❌ LangChain → Python-based, not aligned with Java stack
✅ Spring AI → integrates cleanly with Spring Boot, security, configuration, and observability

👉 Result:
• Easier maintenance
• Easier AI provider switching
• Production-ready enterprise AI

📌 This video is part of a *60-day Spring AI Interview Series by SRWebTech**, designed to help you crack **Senior Java, Lead, and Architect-level AI interviews* with real-world explanations.

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