---
title: Querying | Developer Documentation
---

Querying is the most important part of your LLM application. To learn more about getting a final product that you can deploy, check out the [query engine](/python/framework/module_guides/deploying/query_engine/index.md), [chat engine](/python/framework/module_guides/deploying/chat_engines/index.md).

If you wish to combine advanced reasoning with tool use, check out our [agents](/python/framework/module_guides/deploying/agents/index.md) guide.

## Query Workflows

You can create workflows for querying with ease, using our event-driven `Workflow` interface. Check out our [workflow guide](/python/framework/module_guides/workflow/index.md) for more details.

Otherwise check out how to use our query modules as standalone components 👇.

## Query Modules

- [Query Engines](/python/framework/module_guides/deploying/query_engine/index.md)
- [Chat Engines](/python/framework/module_guides/deploying/chat_engines/index.md)
- [Agents](/python/framework/module_guides/deploying/agents/index.md)
- [Retrievers](/python/framework/module_guides/querying/retriever/index.md)
- [Response Synthesizers](/python/framework/module_guides/querying/response_synthesizers/index.md)
- [Routers](/python/framework/module_guides/querying/router/index.md)
- [Node Postprocessors](/python/framework/module_guides/querying/node_postprocessors/index.md)
- [Structured Outputs](/python/framework/module_guides/querying/structured_outputs/index.md)