> For the complete documentation index, see [llms.txt](https://docs.flowiseai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flowiseai.com/integrations/langchain/llms.md).

# LLMs

***

A large language model, LLM for short, is a AI system trained on massive amounts of text data. This allows them to communicate and generate human-like text in response to a wide range of prompts and questions. In essence, they can understand and respond to complex language.

### LLM Nodes:

* [AWS Bedrock](/integrations/langchain/llms/aws-bedrock.md)
* [Azure OpenAI](/integrations/langchain/llms/azure-openai.md)
* [NIBittensorLLM](https://github.com/FlowiseAI/FlowiseDocs/blob/main/en/integrations/langchain/llms/broken-reference/README.md)
* [Cohere](/integrations/langchain/llms/cohere.md)
* [GooglePaLM](https://github.com/FlowiseAI/FlowiseDocs/blob/main/en/integrations/langchain/llms/broken-reference/README.md)
* [GoogleVertex AI](/integrations/langchain/llms/googlevertex-ai.md)
* [HuggingFace Inference](/integrations/langchain/llms/huggingface-inference.md)
* [Ollama](/integrations/langchain/llms/ollama.md)
* [OpenAI](/integrations/langchain/llms/openai.md)
* [Replicate](/integrations/langchain/llms/replicate.md)