Discover documentation to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
Spring Boot auto-configuration for chat memory functionality in Spring AI applications | Docs | — |
Spring Boot auto-configuration for AI retry capabilities with exponential backoff and intelligent HTTP error handling | Docs | — |
Spring Boot Starter for building Model Context Protocol (MCP) servers with auto-configuration, annotation-based tool/resource/prompt definitions, and support for STDIO, SSE, and Streamable-HTTP transports | Docs | — |
Spring Framework integration for Model Context Protocol (MCP), providing Spring AI function calling capabilities and Spring-friendly abstractions for MCP clients and MCP servers | Docs | — |
Common classes used across Spring AI providing document processing, text transformation, embedding utilities, observability support, and tokenization capabilities for AI application development | Docs | — |
Spring Boot auto-configuration platform for Embabel Agent Framework, enabling annotation-driven profile activation and bootstrapping of agent configurations with MCP client support | Docs | — |
OpenAI compatible model factory for the Embabel Agent Framework | Docs | — |
Fluent DSL and Kotlin DSL for building autonomous agents with planning capabilities on the JVM, featuring annotation-based and programmatic configuration for agentic flows with Spring Boot integration | Docs | — |
Common vector store functionality for Spring AI providing a portable abstraction layer for integrating vector databases with comprehensive filtering, similarity search, and observability support. | Docs | — |
Spring AI Spring Boot Auto Configuration modules providing automatic setup for AI models, vector stores, MCP, and retry capabilities | Docs | — |
Core model interfaces and abstractions for Spring AI framework providing portable API for chat, embeddings, images, audio, and tool calling across multiple AI providers | Docs | — |
Spring AI utility library providing retry mechanisms for AI API interactions with comprehensive error handling and exception classification | Docs | — |
OpenAI models support for Spring AI, providing comprehensive integration for chat completion, embeddings, image generation, audio transcription, text-to-speech, and content moderation capabilities within Spring Boot applications. | Docs | — |
Spring AI Chat Client provides a fluent API for building AI-powered applications with LLMs, supporting advisors, streaming, structured outputs, and conversation memory | Docs | — |
tessl/maven-com-pulumi--aws v7.16.0 Pulumi Java SDK for AWS providing strongly-typed Infrastructure-as-Code for 227 AWS service packages including compute, storage, databases, networking, security, analytics, machine learning, and more. | Docs | — |
tessl/npm-react-leaflet v5.0.3 React components for Leaflet maps | Docs | — |
Git commit message format, types, and conventions | Docs | — |
BC SaaS performance patterns, data access optimization, and best practices | Docs | — |
Azure Functions and Logic Apps integration from Business Central AL | Docs | — |
Custom telemetry with Feature Telemetry and Session.LogMessage for BC | Docs | — |
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