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$
USD
I will build a spring boot chatbot with ai, rag, mcp, and llm
Ponir Saha
About this gig
Want users to search PDFs, knowledge bases, help content, or internal documents and receive useful AI answers with source context?
I will build an AI/RAG document search backend that can include document ingestion, chunking, embeddings, vector/OpenSearch-style retrieval, question-answering APIs, citations, and integration notes for your existing application.
This gig can help with:
- RAG document search
- PDF or knowledge-base search
- LLM API integration
- Embedding and retrieval flow
- Spring Boot backend API
- Source-aware answers or citations
- Integration with an existing app
I approach RAG as an engineering problem, not only a prompt. I focus on document structure, retrieval quality, API design, and handoff so the feature can be tested and improved after delivery.
Please message me before ordering if you have many documents, private data, or an existing production app.
Get to know Ponir Saha
Ponir Saha
Senior Spring Boot Developer for APIs SaaS Kafka and AI RAG
- FromBangladesh
- Member sinceApr 2020
- Avg. response time1 hour
Languages
English
I am a Principal Software Engineer and Spring Boot Architect with 13+ years of experience building reliable backend systems, SaaS platforms, microservices, Kafka workflows, and AI/RAG features. I help clients build, fix, and scale Java/Spring Boot applications with secure REST APIs, PostgreSQL, MySQL, MongoDB, Docker, Spring Security, JWT, Redis, and OpenSearch. I focus on clean architecture, maintainable code, clear communication, and reliable delivery.
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FAQ
Can you integrate this into an existing app?
Yes. I can add the RAG backend to an existing Spring Boot application or provide APIs for another frontend.
Will answers include citations?
Standard and Premium can include source context or citations when the documents and retrieval design support it.
Do you build the frontend?
This gig focuses on backend/API work. A simple frontend or Angular integration can be scoped separately.
How do you protect my code, database, and business data?
I treat your code, database schema, documents, prompts, and business data as confidential. I only use them for your project and do not share or reuse them. You can send redacted/sample data, and temporary access is best instead of production passwords.
