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langchain/docs/integrations/hazy_research.md
Leonid Ganeline e2d7677526
docs: compound ecosystem and integrations (#4870) 
# 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.
2023-05-18 09:29:57 -07:00

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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:

from langchain.llms.manifest import ManifestWrapper