Browse executable AI solution packages
Search by use case, stack, or implementation problem. Each product is built around source code, local run steps, and verification evidence.
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.
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.
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.