I will integrate langchain4j, rag, and llms into your java app

S
sabareesan
S
sabareesan
Sabareesan M

Level 1

About this gig

Now Java applications required to integrate LangChain4J in to existing application.

LangChain4j integration with existing Java applications

RAG pipelines using vector databases

AI chatbots trained on your internal documents

Knowledge base search using embeddings

Document processing and semantic search

AI copilots for enterprise systems

AI APIs built with Spring Boot

Technologies I work with:

Java / Spring Boot

LangChain4j

RAG architecture

OpenAI, Anthropic, and other LLM providers

Vector databases (PgVector, Pinecone, Weaviate, Milvus)

REST APIs and microservices

Docker and cloud deployment

Use cases:

AI assistants for enterprise applications

Customer support automation

Internal company knowledge bots

AI-powered analytics tools

Intelligent document search

Get to know Sabareesan M

Sabareesan M

10 Years experienced Java Tech Lead, Developer

5.0(28)

Level 1

  • FromIndia
  • Member sinceMay 2014
  • Avg. response time2 hours
  • Last delivery1 month
  • Languages

    English, Tamil, Malayalam, Kannada, Telugu, Hindi
I have more than 10 years of experience in developing Java applications. I worked as a Java lead in Trade finance, Insurance, Retail, IoT, E Commerce, Hospitality, Automobile companies. I worked in Spring Boot, Java 21, AWS, Postgres, Micro services extensively I have good exposure in Rest,SOAP, gRPC, WebSockets, Authentication, Authorization, Keycloak, OAuth and Cloud platforms like GCP, Azure, Heroku, Digital Ocean, Spring cloud API gateway. APIGEE. AWS API gateway . I worked in all phases of the project life cycle from requirements analysis to production server monitoring.

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