mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +00:00
b30f449dae
## Description Add `Dashvector` vectorstore for langchain - [dashvector quick start](https://help.aliyun.com/document_detail/2510223.html) - [dashvector package description](https://pypi.org/project/dashvector/) ## How to use ```python from langchain.vectorstores.dashvector import DashVector dashvector = DashVector.from_documents(docs, embeddings) ``` --------- Co-authored-by: smallrain.xuxy <smallrain.xuxy@alibaba-inc.com> Co-authored-by: Bagatur <baskaryan@gmail.com>
25 lines
1.1 KiB
Plaintext
25 lines
1.1 KiB
Plaintext
# DashVector
|
|
|
|
> [DashVector](https://help.aliyun.com/document_detail/2510225.html) is a fully-managed vectorDB service that supports high-dimension dense and sparse vectors, real-time insertion and filtered search. It is built to scale automatically and can adapt to different application requirements.
|
|
|
|
This document demonstrates to leverage DashVector within the LangChain ecosystem. In particular, it shows how to install DashVector, and how to use it as a VectorStore plugin in LangChain.
|
|
It is broken into two parts: installation and setup, and then references to specific DashVector wrappers.
|
|
|
|
## Installation and Setup
|
|
Install the Python SDK:
|
|
```bash
|
|
pip install dashvector
|
|
```
|
|
|
|
## VectorStore
|
|
|
|
A DashVector Collection is wrapped as a familiar VectorStore for native usage within LangChain,
|
|
which allows it to be readily used for various scenarios, such as semantic search or example selection.
|
|
|
|
You may import the vectorstore by:
|
|
```python
|
|
from langchain.vectorstores import DashVector
|
|
```
|
|
|
|
For a detailed walkthrough of the DashVector wrapper, please refer to [this notebook](/docs/integrations/vectorstores/dashvector.html)
|