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 * [Structured Outputs](https://docs.spring.io/spring-ai/reference/api/structured-output-converter.html) - Mapping of AI Model output to POJOs.
 * Support for all major [Vector Database providers](https://docs.spring.io/spring-ai/reference/api/vectordbs.html) such as *Apache Cassandra, Azure Vector Search, Chroma, Milvus, MongoDB Atlas, MariaDB, Neo4j, Oracle, PostgreSQL/PGVector, PineCone, Qdrant, Redis, and Weaviate*.
 * Portable API across Vector Store providers, including a novel SQL-like [metadata filter API](https://docs.spring.io/spring-ai/reference/api/vectordbs.html#metadata-filters).
-* [Tools/Function Calling](https://docs.spring.io/spring-ai/reference/api/functions.html) - permits the model to request the execution of client-side tools and functions, thereby accessing necessary real-time information as required.
+* [Tools/Function Calling](https://docs.spring.io/spring-ai/reference/api/tools.html) - permits the model to request the execution of client-side tools and functions, thereby accessing necessary real-time information as required.
 * [Observability](https://docs.spring.io/spring-ai/reference/observability/index.html) - Provides insights into AI-related operations.
 * Document injection [ETL framework](https://docs.spring.io/spring-ai/reference/api/etl-pipeline.html) for Data Engineering.
 * [AI Model Evaluation](https://docs.spring.io/spring-ai/reference/api/testing.html) - Utilities to help evaluate generated content and protect against hallucinated response.