# Integrations

***

In Flowise, nodes are referred to as integrations. Similar to LEGO, you can build a customized LLM ochestration flow, a chatbot, an agent with all the integrations available in Flowise.

### LangChain

* [Agents](https://docs.flowiseai.com/integrations/langchain/agents)
* [Cache](https://docs.flowiseai.com/integrations/langchain/cache)
* [Chains](https://docs.flowiseai.com/integrations/langchain/chains)
* [Chat Models](https://docs.flowiseai.com/integrations/langchain/chat-models)
* [Document Loaders](https://docs.flowiseai.com/integrations/langchain/document-loaders)
* [Embeddings](https://docs.flowiseai.com/integrations/langchain/embeddings)
* [LLMs](https://docs.flowiseai.com/integrations/langchain/llms)
* [Memory](https://docs.flowiseai.com/integrations/langchain/memory)
* [Moderation](https://docs.flowiseai.com/integrations/langchain/moderation)
* [Output Parsers](https://docs.flowiseai.com/integrations/langchain/output-parsers)
* [Prompts](https://docs.flowiseai.com/integrations/langchain/prompts)
* [Record Managers](https://docs.flowiseai.com/integrations/langchain/record-managers)
* [Retrievers](https://docs.flowiseai.com/integrations/langchain/retrievers)
* [Text Splitters](https://docs.flowiseai.com/integrations/langchain/text-splitters)
* [Tools](https://docs.flowiseai.com/integrations/langchain/tools)
* [Vector Stores](https://docs.flowiseai.com/integrations/langchain/vector-stores)

### LlamaIndex

* [Agents](https://docs.flowiseai.com/integrations/llamaindex/agents)
* [Chat Models](https://docs.flowiseai.com/integrations/llamaindex/chat-models)
* [Embeddings](https://docs.flowiseai.com/integrations/llamaindex/embeddings)
* [Engine](https://docs.flowiseai.com/integrations/llamaindex/engine)
* [Response Synthesizer](https://docs.flowiseai.com/integrations/llamaindex/response-synthesizer)
* [Tools](https://docs.flowiseai.com/integrations/llamaindex/tools)
* [Vector Stores](https://docs.flowiseai.com/integrations/llamaindex/vector-stores)

### Utilities

* [Custom JS Function](https://docs.flowiseai.com/integrations/utilities/custom-js-function)
* [Set/Get Variable](https://docs.flowiseai.com/integrations/utilities/set-get-variable)
* [If Else](https://docs.flowiseai.com/integrations/utilities/if-else)
* [Set Variable](https://github.com/FlowiseAI/FlowiseDocs/blob/main/en/integrations/broken-reference/README.md)
* [Sticky Note](https://docs.flowiseai.com/integrations/utilities/sticky-note)

### External Integrations

* [Zapier Zaps](https://docs.flowiseai.com/integrations/3rd-party-platform-integration/zapier-zaps)


---

# 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.flowiseai.com/integrations.md?ask=<question>
```

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.
