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Spring AI 1.1.4-SNAPSHOT

- Overview
  - AI Concepts
- Getting Started
- Reference
  - Chat Client API
    - Advisors
      - Recursive Advisors
  - Prompts
  - Structured Output
  - Multimodality
  - Models
    - Chat Models
    - Embedding Models
      - Amazon Bedrock
      - Azure OpenAI
      - Google
      - Mistral AI
      - MiniMax
      - OCI GenAI
      - Ollama
      - (ONNX) Transformers
      - OpenAI SDK (Official)
      - OpenAI
      - PostgresML
      - QianFan
      - VertexAI
      - ZhiPu AI
    - Image Models
    - Audio Models
      - Transcription API
      - Text-To-Speech (TTS) API
    - Moderation Models
      - OpenAI
      - Mistral AI
  - Chat Memory
  - Tool Calling
  - Model Context Protocol (MCP)
  - Retrieval Augmented Generation (RAG)
    - ETL Pipeline
  - Model Evaluation
  - Vector Databases
    - Azure AI Service
    - Azure Cosmos DB
    - Apache Cassandra Vector Store
    - Chroma
    - Couchbase
    - Elasticsearch
    - GemFire
    - MariaDB Vector Store
    - Milvus
    - MongoDB Atlas
    - Neo4j
    - OpenSearch
    - Oracle
    - PGvector
    - Pinecone
    - Qdrant
    - Redis
    - SAP Hana
    - Typesense
    - Weaviate
  - Observability
  - Development-time Services
  - Testing
    - Testcontainers
- Guides
  - Awesome Spring AI
  - Getting Started with MCP
  - Dynamic Tool Discovery
  - LLM-as-a-Judge Evaluation
  - Prompt Engineering Patterns
  - Building Effective Agents
  - Deploying to the Cloud

请访问：https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/index.html

Spring AI
Overview

AI Concepts

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