DingoDB is a distributed multi-modal vector database. It combines the features of a data lake and a vector database, allowing for the storage of any type of data (key-value, PDF, audio, video, etc.) regardless of its size. Utilizing DingoDB, you can construct your own Vector Ocean (the next-generation data architecture following data warehouse and data lake). This enables the analysis of both structured and unstructured data through a singular SQL with exceptionally low latency in real time.

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Installation and Setup

Install the Python SDK 
pip install dingodb

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VectorStore

There exists a wrapper around DingoDB indexes, allowing you to use it as a vectorstore, whether for semantic search or example selection. To import this vectorstore: 
from langchain_community.vectorstores import Dingo
For a more detailed walkthrough of the DingoDB wrapper, see this notebook