mirror of
https://github.com/hwchase17/langchain
synced 2024-10-31 15:20:26 +00:00
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
|
||
|
```
|