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langchain/docs/integrations/opensearch.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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OpenSearch

This page covers how to use the OpenSearch ecosystem within LangChain. It is broken into two parts: installation and setup, and then references to specific OpenSearch wrappers.

Installation and Setup

  • Install the Python package with pip install opensearch-py

Wrappers

VectorStore

There exists a wrapper around OpenSearch vector databases, allowing you to use it as a vectorstore for semantic search using approximate vector search powered by lucene, nmslib and faiss engines or using painless scripting and script scoring functions for bruteforce vector search.

To import this vectorstore:

from langchain.vectorstores import OpenSearchVectorSearch

For a more detailed walkthrough of the OpenSearch wrapper, see this notebook