mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
705431aecc
Co-authored-by: Ankush Gola <ankush.gola@gmail.com>
32 lines
1.1 KiB
ReStructuredText
32 lines
1.1 KiB
ReStructuredText
LLMs
|
|
==========================
|
|
|
|
.. note::
|
|
`Conceptual Guide <https://docs.langchain.com/docs/components/models/language-model>`_
|
|
|
|
|
|
Large Language Models (LLMs) are a core component of LangChain.
|
|
LangChain is not a provider of LLMs, but rather provides a standard interface through which
|
|
you can interact with a variety of LLMs.
|
|
|
|
The following sections of documentation are provided:
|
|
|
|
- `Getting Started <./llms/getting_started.html>`_: An overview of all the functionality the LangChain LLM class provides.
|
|
|
|
- `How-To Guides <./llms/how_to_guides.html>`_: A collection of how-to guides. These highlight how to accomplish various objectives with our LLM class (streaming, async, etc).
|
|
|
|
- `Integrations <./llms/integrations.html>`_: A collection of examples on how to integrate different LLM providers with LangChain (OpenAI, Hugging Face, etc).
|
|
|
|
- `Reference <../../reference/modules/llms.html>`_: API reference documentation for all LLM classes.
|
|
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:name: LLMs
|
|
:hidden:
|
|
|
|
./llms/getting_started.ipynb
|
|
./llms/how_to_guides.rst
|
|
./llms/integrations.rst
|
|
Reference<../../reference/modules/llms.rst>
|