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# 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.
22 lines
834 B
Markdown
22 lines
834 B
Markdown
# OpenSearch
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This page covers how to use the OpenSearch ecosystem within LangChain.
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It is broken into two parts: installation and setup, and then references to specific OpenSearch wrappers.
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## Installation and Setup
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- Install the Python package with `pip install opensearch-py`
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## Wrappers
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### VectorStore
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There exists a wrapper around OpenSearch vector databases, allowing you to use it as a vectorstore
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for semantic search using approximate vector search powered by lucene, nmslib and faiss engines
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or using painless scripting and script scoring functions for bruteforce vector search.
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To import this vectorstore:
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```python
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from langchain.vectorstores import OpenSearchVectorSearch
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```
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For a more detailed walkthrough of the OpenSearch wrapper, see [this notebook](../modules/indexes/vectorstores/examples/opensearch.ipynb)
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