Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2023-01-02 16:24:09 +00:00
Integrations
=============
The examples here are all "how-to" guides for how to integrate with various LLM providers.
2023-02-18 22:25:37 +00:00
`OpenAI <./integrations/openai.html> `_ : Covers how to connect to OpenAI models.
`Cohere <./integrations/cohere.html> `_ : Covers how to connect to Cohere models.
`AI21 <./integrations/ai21.html> `_ : Covers how to connect to AI21 models.
2023-01-05 05:39:50 +00:00
`Huggingface Hub <./integrations/huggingface_hub.html> `_ : Covers how to connect to LLMs hosted on HuggingFace Hub.
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2023-01-02 16:24:09 +00:00
2023-01-05 05:39:50 +00:00
`Azure OpenAI <./integrations/azure_openai_example.html> `_ : Covers how to connect to Azure-hosted OpenAI Models.
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2023-01-02 16:24:09 +00:00
2023-01-05 05:39:50 +00:00
`Manifest <./integrations/manifest.html> `_ : Covers how to utilize the Manifest wrapper.
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2023-01-02 16:24:09 +00:00
2023-02-14 05:20:19 +00:00
`Goose AI <./integrations/gooseai_example.html> `_ : Covers how to utilize the Goose AI wrapper.
`Cerebrium <./integrations/cerebriumai_example.html> `_ : Covers how to utilize the Cerebrium AI wrapper.
`Petals <./integrations/petals_example.html> `_ : Covers how to utilize the Petals wrapper.
`Forefront AI <./integrations/forefrontai_example.html> `_ : Covers how to utilize the Forefront AI wrapper.
2023-02-14 06:06:25 +00:00
`PromptLayer OpenAI <./integrations/promptlayer_openai.html> `_ : Covers how to use `PromptLayer <https://promptlayer.com> `_ with Langchain.
2023-02-16 07:04:28 +00:00
`Anthropic <./integrations/anthropic_example.html> `_ : Covers how to use Anthropic models with Langchain.
2023-02-19 17:53:45 +00:00
`Self-Hosted Models (via Runhouse) <./integrations/self_hosted_examples.html> `_ : Covers how to run models on existing or on-demand remote compute with Langchain.
Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2023-01-02 16:24:09 +00:00
.. toctree ::
:maxdepth: 1
:glob:
:caption: Specific LLM Integrations
:name: Specific LLM Integrations
:hidden:
2023-01-05 05:39:50 +00:00
./integrations/*
