Query Engine
Concept
Section titled “Concept”Query engine is a generic interface that allows you to ask question over your data.
A query engine takes in a natural language query, and returns a rich response. It is most often (but not always) built on one or many indexes via retrievers. You can compose multiple query engines to achieve more advanced capability.
Usage Pattern
Section titled “Usage Pattern”Get started with:
query_engine = index.as_query_engine()response = query_engine.query("Who is Paul Graham.")To stream response:
query_engine = index.as_query_engine(streaming=True)streaming_response = query_engine.query("Who is Paul Graham.")streaming_response.print_response_stream()See the full usage pattern for more details.
Modules
Section titled “Modules”Find all the modules in the modules guide.
Supporting Modules
Section titled “Supporting Modules”There are also supporting modules.
Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/