Runnable AI implementations for Spring Boot teams
Start from verified source code, Docker Compose, execution evidence, and implementation notes instead of a blank architecture doc.
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Document Intake in Spring Boot: Multimodal Extraction, Validation, and Review Queues
This solution implements a production-ready Intelligent Document Intake pipeline for Spring Boot applications. It is designed for teams that receive PDFs, scanned forms, images, or semi-structured documents from customers, partners, or internal users and need to convert those files into validated business data rather than just searchable text.
LLM Semantic Cache in Spring Boot: Similarity Hits, Freshness Policies, and Safe Fallbacks
A semantic cache changes the serving contract. Instead of sending every request to the model, the application first asks whether a prior answer is similar enough, fresh enough, and safe enough to reuse.
Self-Healing Agents in Spring Boot: Failure Detection, Recovery Policies, and Durable Execution
This solution implements a production-ready Self-Healing Agent runtime for Spring Boot applications. It is designed for teams building tool-calling or workflow-driven AI agents that must continue operating even when individual steps fail due to malformed tool arguments, transient API outages, inconsistent intermediate state, or partial execution across multiple dependencies.
Trusted RAG in Spring Boot: Retrieval Grounding, Answer Verification, and Citation Scoring
This solution implements a production-ready Trusted RAG pipeline for Spring Boot applications. It is designed for teams that already have a basic retrieval-augmented generation flow, but need stronger guarantees around factual grounding, answer verification, and user-visible citations before exposing the system to internal users or customers.
Prompt Versioning & A/B Testing in Spring Boot: Canary Deployment, Statistical Significance, and Safe Rollout
A runnable prompt management service that versions prompt templates in PostgreSQL, routes live traffic between control and candidate variants using weighted canary splits, evaluates outputs with deterministic and LLM-as-judge scorers, and auto-promotes or auto-rolls-back based on statistical significance.
MCP Server & Client in Spring AI: Annotation-Driven Tools, Streamable HTTP, and Dynamic Tool Discovery
A runnable MCP server and client pair built with Spring AI 1.1.x that exposes domain tools via @McpTool, connects over Streamable HTTP transport, and supports dynamic tool registration without service restart.
Agentic Workflows in Spring Boot: Tool Calling, Idempotency, and Durable Runs
A runnable workflow engine for LLM tool-calling with durable run state, retries, idempotency keys, and human-in-the-loop checkpoints.
LLM Eval Harness for Spring Boot: Golden Sets, Regression Tests, and CI Reports
A runnable evaluation harness that tests prompts/RAG outputs against golden datasets, computes metrics, and generates CI-friendly reports and evidence packs.
Secure Document Ingestion for RAG: Chunking, Deduplication, and PII Redaction
A runnable ingestion pipeline that extracts text, deduplicates, redacts PII, generates embeddings, and produces evidence artifacts for compliance and quality.
Vector-based Recommendations in Spring Boot: pgvector Similarity + Business Rules
A runnable recommendation service combining vector similarity with deterministic business rules and explainable ranking.
Kafka Data Enrichment with LLM: Idempotent Consumers, DLQ, and Tracing
A runnable event-driven pipeline that enriches Kafka messages using LLM calls with idempotent processing, DLQ handling, and end-to-end tracing.
SQL Assistant for Spring Boot: Guardrails, Read-only Enforcement, and Audit Logs
A runnable assistant that converts natural language questions into SQL with schema grounding, read-only enforcement, and full audit logging.
Streaming Chat with SSE + “StopResume” + Conversation Memory
A runnable chat service that streams LLM tokens over SSE, supports cancellation and resume, and persists conversation state safely.
LLM Gateway for Spring Boot: Multi-tenant API Keys, Quotas, and Cost Controls
A production-grade LLM proxy that enforces per-tenant API keys, rate limits, token budgets, caching, and audit logging.
LLM Observability for Spring AI OpenTelemetry Tracing to Langfuse (Self-Hosted)
This solution provides a runnable Spring Boot setup that instruments Spring AI with OpenTelemetry and exports traces to a self-hosted Langfuse stack.
Hybrid Retrieval RAG in PostgreSQL Keyword + pgvector + Rank Fusion (Spring Boot)
This solution implements hybrid retrieval by combining two independent PostgreSQL-based retrieval paths.