Module Usage#

Currently the following LlamaIndex modules are supported within a QueryPipeline. Remember, you can define your own!

LLMs (both completion and chat)#

Base class: LLM
Module Guide
If chat model:
- Input: messages. Takes in any List[ChatMessage] or any stringable input.
- Output: output. Outputs ChatResponse (stringable)
If completion model:
- Input: prompt. Takes in any stringable input.
- Output: output. Outputs CompletionResponse (stringable)

Prompts#

Base class: PromptTemplate
Module Guide
Input: Prompt template variables. Each variable can be a stringable input.
Output: output. Outputs formatted prompt string (stringable)

Query Engines#

Base class: BaseQueryEngine
Module Guide
Input: input. Takes in any stringable input.
Output: output. Outputs Response (stringable)

Query Transforms#

Base class: BaseQueryTransform
Module Guide
Input: query_str, metadata (optional). query_str is any stringable input.
Output: query_str. Outputs string.

Retrievers#

Base class: BaseRetriever
Module Guide
Input: input. Takes in any stringable input.
Output: output. Outputs list of nodes List[BaseNode].

Output Parsers#

Base class: BaseOutputParser
Module Guide
Input: input. Takes in any stringable input.
Output: output. Outputs whatever type output parser is supposed to parse out.

Postprocessors/Rerankers#

Base class: BaseNodePostprocessor
Module Guide
Input: nodes, query_str (optional). nodes is List[BaseNode], query_str is any stringable input.
Output: nodes. Outputs list of nodes List[BaseNode].

Response Synthesizers#

Base class: BaseSynthesizer
Module Guide
Input: nodes, query_str. nodes is List[BaseNode], query_str is any stringable input.
Output: output. Outputs Response object (stringable).

Other QueryPipeline objects#

You can define a QueryPipeline as a module within another query pipeline. This makes it easy for you to string together complex workflows.

Custom Components#

See our custom components guide for more details.