You will get LangChain4j / RAG Integration for Java Apps
Project details
I will integrate modern AI capabilities into your existing Java applications using LangChain4j and Retrieval Augmented Generation (RAG).
If you already have an enterprise Java system and want to add AI features like intelligent chat, document Q&A, or knowledge assistants, I can help integrate LLMs seamlessly into your backend.
What I can build for you:
• 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
If you already have an enterprise Java system and want to add AI features like intelligent chat, document Q&A, or knowledge assistants, I can help integrate LLMs seamlessly into your backend.
What I can build for you:
• 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
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
OpenCVAI Development Language
JavaWhat's included $20
These options are included with the project scope.
$20
- Delivery Time 10 days
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About Sabareesan
Java Developer
62%
Job Success
Chennai, India - 11:17 pm local time
I worked as a team lead in many projects. AI skills become mandatory now a days. I have exposure to Spring AI, Yolo model, Open AI integration, tribuo, RAG.
I have good exposure in
Spring Boot
Spring Batch
Spring data
Cloud platforms like
AWS
GCP
Azure
Heroku
Digital Ocean.
I have good knowledge about microservices design patterns. I worked on
Zuul API gateway and spring cloud api gateway
Consul.
Feign.
Eureka.
Hystrix.
Resilence4J .
Service mesh,
APIGEE.
AWS API gateway . I worked in 5 Spring Boot Micro services projects.
I have working knowledge in
Role based user access,
Google OAuth2 Integration,
SAML Authentication,
JWT,
session management,
Spring Security,
Spring Data,
AWS Java loT SDK, MQTT, MongoDB, Elastic Search, Neo4J, Service Now, Tableau.
I have exposure to many migration projects also. I worked in java 8 to java 21 migration, jsp , ejb to spring boot migration, jdbc to spring data.
I am familiar with many api development architectures like ReST, SOAP, gRPC,, Graph QL.
I have participated in all phases of the project life cycle like
Requirement analysis,
High level design,
Low level design,
Project plan,
Coding,
Testing,
Debugging and deployment on cloud.
I worked in Agile methodologies.
I have good working knowledge in
API design
API security
Design patterns
Best practices in API design.
I worked on Desktop applications using Java Swing, NetBeans module.
I have exposure to TDD, jax rs, agile, HCL Domino, HCL Notes, NetBeans Module development, jsf, prime faces , Scrum methodologies. I used CI/CD tools Jenkins, Tekton, Ansible, Github Actions
I worked on
Retail,
Trade Finance,
Insurance,
Banking,
Pharmacy ,
E commerce,
ERP,
CRM,
POS,
Inventory,
In my last project we have deployed ML model in iOS as well as in the server side.
Steps for completing your project
After purchasing the project, send requirements so Sabareesan can start the project.
Delivery time starts when Sabareesan receives requirements from you.
Sabareesan works on your project following the steps below.
Revisions may occur after the delivery date.
Langchain4J implementation
It will be done to accomplish the required task