mirror of
https://github.com/hwchase17/langchain
synced 2024-11-20 03:25:56 +00:00
e2d7677526
# Docs: compound ecosystem and integrations **Problem statement:** We have a big overlap between the References/Integrations and Ecosystem/LongChain Ecosystem pages. It confuses users. It creates a situation when new integration is added only on one of these pages, which creates even more confusion. - removed References/Integrations page (but move all its information into the individual integration pages - in the next PR). - renamed Ecosystem/LongChain Ecosystem into Integrations/Integrations. I like the Ecosystem term. It is more generic and semantically richer than the Integration term. But it mentally overloads users. The `integration` term is more concrete. UPDATE: after discussion, the Ecosystem is the term. Ecosystem/Integrations is the page (in place of Ecosystem/LongChain Ecosystem). As a result, a user gets a single place to start with the individual integration.
20 lines
603 B
Markdown
20 lines
603 B
Markdown
# Hazy Research
|
|
|
|
This page covers how to use the Hazy Research ecosystem within LangChain.
|
|
It is broken into two parts: installation and setup, and then references to specific Hazy Research wrappers.
|
|
|
|
## Installation and Setup
|
|
- To use the `manifest`, install it with `pip install manifest-ml`
|
|
|
|
## Wrappers
|
|
|
|
### LLM
|
|
|
|
There exists an LLM wrapper around Hazy Research's `manifest` library.
|
|
`manifest` is a python library which is itself a wrapper around many model providers, and adds in caching, history, and more.
|
|
|
|
To use this wrapper:
|
|
```python
|
|
from langchain.llms.manifest import ManifestWrapper
|
|
```
|