#neo4j

ESG knowledge graph + RAG agent. Turn long-form sustainability disclosures into cited answers, extracted entities, and a reviewable graph of evidence.

Local-first GraphRAG: Milvus hybrid (dense+BM25) + Neo4j local-search + cross-encoder rerank + contextual retrieval. Local-dev runs end-to-end on Ollama with no paid APIs; CI integration tier uses Ollama Cloud + OpenAI embeddings.

Skein is an agentic AI platform that answers questions by weaving together structured and unstructured data, grounding every response in a knowledge graph, hybrid vector search, and a governed semantic layer. It escalates to humans when unsure, and runs free locally or scales to the cloud.

I Build a Healthcare retrieval system using GLiNER2, Neo4j, Qdrant, and QQL to convert doctor–patient conversations into structured medical intelligence. Implemented healthcare entity and relation extraction, constructed a knowledge graph, and enabled hybrid semantic and graph-based retrieval for efficient healthcare data search and analysis.

Spring Boot microservices backend for a professional networking platform, featuring an agentic AI "Content Studio" (Spring AI + RAG + LLM) that plans, drafts, self-critiques, moderates, and publishes posts. Built with Java 21, Kafka, PostgreSQL/pgvector, Neo4j graph database, and Eureka.