I will build a secure rag pipeline with spring boot and vector db

H
hariprasanth_s
H
hariprasanth_s
Hari P

About this gig

Stop building basic chatbots. Build Enterprise-Ready AI.

In 2026, businesses need RAG (Retrieval-Augmented Generation) that is secure, factual, and production-grade. I architect high-performance AI backends using Spring Boot 3.4+ and Spring AI, ensuring your private data stays protected while giving your LLM "expert knowledge" of your business.

What I Offer:

  • Hybrid Retrieval: I combine Semantic Vector Search with Keyword Matching for 99% accuracyperfect for technical manuals or complex FAQs.
  • Enterprise Security: I implement Metadata Filtering synced with your security protocols, so users only see what they are authorized to see.
  • Scalable Ingestion: Custom pipelines to clean and embed your PDFs, SQL data, or docs into high-speed Vector Stores like PGVector or Pinecone.
  • Java 21 Performance: Optimized with virtual threads to handle massive query loads with zero lag.

Why My Gig? You arent getting a "wrapper" script. You are getting a Type-Safe, Secure, and Documented Spring Boot repository. Every delivery includes Detailed Code Comments explaining the logic for easy maintenance.

[PLEASE MESSAGE ME BEFORE ORDERING] to discuss your data structure.

Get to know Hari P

Hari P

FullStack l Mobile App Developer l AI LLM Integration

4.0(1)
  • FromIndia
  • Member sinceMar 2026
  • Avg. response time1 hour
  • Last delivery1 month
  • Languages

    Tamil, English
I am a Software Engineer specializing in secure, high-performance systems and containerized architectures. I engineer robust APIs and modules with security-by-design and Dockerization at their core, ensuring every deployment is scalable, hardened, and production-ready.

My Portfolio