# LangChain

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[**LangChain**](https://www.langchain.com/) is a framework for developing applications powered by language models. It simplifies the process of creating generative AI application, connecting data sources, vectors, memories with LLMs.

Flowise complements LangChain by offering a visual interface. Here, nodes are organized into distinct sections, making it easier to build workflows.

### LangChain Sections:

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


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