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Fix flexible dimension and doc for DingoDB (#12187)

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Hech
2023-10-25 01:16:19 +08:00
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commit d76f026d72
4 changed files with 18 additions and 13 deletions
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docs/api_reference/guide_imports.json
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docs/docs/integrations/providers/dingo.mdx
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@@ -1,14 +1,14 @@
# Dingo
# DingoDB
This page covers how to use the Dingo ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Dingo wrappers.
This page covers how to use the DingoDB ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific DingoDB wrappers.
## Installation and Setup
- Install the Python SDK with `pip install dingodb`
## VectorStore
There exists a wrapper around Dingo indexes, allowing you to use it as a 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:
@@ -16,4 +16,4 @@ To import this vectorstore:
from langchain.vectorstores import Dingo
```
For a more detailed walkthrough of the Dingo wrapper, see [this notebook](/docs/integrations/vectorstores/dingo.html)
For a more detailed walkthrough of the DingoDB wrapper, see [this notebook](/docs/integrations/vectorstores/dingo.html)

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docs/docs/integrations/vectorstores/dingo.ipynb
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@@ -5,9 +5,9 @@
"id": "683953b3",
"metadata": {},
"source": [
"# Dingo\n",
"# DingoDB\n",
"\n",
">[Dingo](https://dingodb.readthedocs.io/en/latest/) is a distributed multi-mode vector database, which combines the characteristics of data lakes and vector databases, and can store data of any type and size (Key-Value, PDF, audio, video, etc.). It has real-time low-latency processing capabilities to achieve rapid insight and response, and can efficiently conduct instant analysis and process multi-modal data.\n",
">[DingoDB](https://dingodb.readthedocs.io/en/latest/) is a distributed multi-mode vector database, which combines the characteristics of data lakes and vector databases, and can store data of any type and size (Key-Value, PDF, audio, video, etc.). It has real-time low-latency processing capabilities to achieve rapid insight and response, and can efficiently conduct instant analysis and process multi-modal data.\n",
"\n",
"This notebook shows how to use functionality related to the DingoDB vector database.\n",
"\n",