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Easily get started with Spring-AI to develop various AI applications, including TextToSQL and private data AI application development. In addition to these capabilities, Spring-AI also supports integration with several other advanced AI technologies and platforms such as DeepSeek, Azure, Ollama, Vector Databases, Function Calling, MCP and RAG.
Anime & manga recommendation agent over a Neo4j knowledge graph built from MyAnimeList. Local LLMs (gpt-oss-20b via MLX) for text-to-Cypher with schema and value checks, vector search over synopses, a tool-using agent, a web UI and automatic evals. Code and prompts in Portuguese (pt-BR).
Final project for Graph Database course — medical knowledge graph using Neo4j with LLM Text-to-Cypher, Graph Analytics (PageRank, Louvain), FastRP embeddings, and Graph-Augmented RAG over 100 diseases and 1,612 nodes.
Transparent AI knowledge graphs from regulatory documents. Ask questions in plain English - see exactly which strategy answered, the Cypher query generated, confidence score, and source documents.
Fine-tuned SmolLM2-135M-Instruct with LoRA to generate Cypher queries from natural-language questions and graph schemas. Built the complete training and evaluation pipeline, compared full-prompt and completion-only objectives, and improved Token F1 from 27.4% to 33.4% with completion-only training.