Smart Retail Navigator: Unifying RAG, LLM, and Vector Search
A production-grade architecture integrating Retrieval-Augmented Generation with Annoy-based vector similarity search, enabling intelligent retail analytics through contextual AI responses.
Production-grade solutions from real enterprise engagements
A production-grade architecture integrating Retrieval-Augmented Generation with Annoy-based vector similarity search, enabling intelligent retail analytics through contextual AI responses.
Production-ready AI assistant architecture using Spring Boot, LangChain4j, and semantic embeddings for intelligent customer service automation.
Comprehensive data management framework transforming raw data into refined analytics through Landing, Bronze, Silver, and Gold tiers.
Mathematical foundations of using Markov Decision Processes and vector embeddings to enable LLMs to understand and execute complex API workflows.
Deep dive into Euclidean distance, cosine similarity, and approximate nearest neighbor algorithms powering modern AI retrieval systems.
Building intelligent data catalogs using OWL2Vec embeddings and FAISS vector search for contextual, knowledge-aware asset discovery.
Production-grade MLOps framework with strong typing, configuration-driven workflows, and seamless MLflow integration for enterprise ML.
Novel transformer architecture with TopoAttention mechanism for converting SQL schemas into valid RDF taxonomies with 86% validity score.
Cloud-native analytics architecture combining Databricks SQL endpoints, Streamlit frontends, and DAPR for decentralized data product delivery.
Comprehensive guide on transforming knowledge engineering through LLMs: representation, reasoning, RAG implementation, and LLMOps best practices.
Platform-agnostic ML engineering collaboration using Neo4j graph database for feature stores, dataset versioning, and hyperparameter tracking.
Reference architecture implementing CQRS patterns with Debezium CDC, Kafka, Spring Cloud Stream, and Druid for real-time analytics.
Spring WebFlux application with OAuth 2.0 Gmail integration, keyword filtering, and OpenAI summarization for email thread analysis.
Comprehensive Spring Cloud Stream examples demonstrating Kafka-based windowing, stream joins, branching, and real-time aggregation patterns.
Polyglot ML architecture using H2O Gradient Boosting Models exported as Java POJOs for real-time loan decisions.
Serverless template achieving supersonic container startup using GraalVM native compilation with Spring Boot.
Complete deep learning workflow on AWS SageMaker from data preparation to model deployment.
Implementing EIP using Apache Camel with AWS S3, Kinesis, Kafka for robust enterprise integration.
Complete Spring Boot RSocket stack for reactive microservices with bi-directional streaming.