I will integrate ai rag openai gemini or deepseek with spring boot


About this gig
Want to add practical AI capabilities to a Java or Spring Boot application?
I will integrate OpenAI, Gemini, DeepSeek, or another suitable API into your backend. I can also build document-based RAG features that retrieve relevant information before generating an answer.
I can develop:
- AI text generation and summarization
- Chat assistants and conversation APIs
- Document question-and-answer workflows
- RAG with PostgreSQL and pgvector or OpenSearch
- Prompt templates and structured outputs
- Multiple-model provider integration
- Access control, usage limits, and error handling
- Logging, evaluation hooks, and cost-aware workflows
My approach focuses on secure integration, maintainable code, grounded answers, and realistic model limitations. API usage, vector database, hosting, and other third-party charges are paid directly by the buyer.
Please contact me before ordering so we can select the right model, data source, security approach, and package.
Get to know Ponir Saha
Java and Spring Boot Architect for SaaS Microservices and AI
- FromBangladesh
- Member sinceApr 2020
Languages
English
My Portfolio
FAQ
Which model should I use?
I can recommend OpenAI, Gemini, DeepSeek, or another available provider based on quality, privacy, latency, and budget.
Is fine-tuning included?
No. RAG, prompting, and API integration are not model fine-tuning.
Can you guarantee completely accurate AI answers?
No AI model is perfectly accurate. I can add retrieval, citations, validation, and human-review controls to reduce risk.

