# Acknowledgements Peoplelogic.dev's Talent SDK is built on top of the amazing [Langchain4J](https://github.com/langchain4j/langchain4j). Langchain4j provides much of the foundational LLM interactions. You will notice us mix Langchain4J annotations and Peoplelogic specific annotations throughout the samples and the documentation. We have attempted to maintain compability with their core libraries throughout. We also want to mention the team from Quarkus - in particular the [Langchain module](https://github.com/quarkiverse/quarkus-langchain4j) for their work on MCP clients. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.peoplelogic.dev/guides/getting-started-with-the-talent-agent-sdk/acknowledgements.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.