How do I configure the Microsoft Azure OpenAi Embedding node?#
Before you begin#
- Learn about LLM prompts
- Learn about LLM tokens
- Learn about LLM Embedding
- Learn about mathematical Vectors
- Learn about Ensemble Agents
- Learn about Vector stores
- Learn about the Microsoft Azure OpenAi Service
- Learn about the Azure OpenAi service REST API
- Add Microsoft Azure authentication credentials
- Add a pathway
Step 1 - add the node#
- Click + to open the nodes panel
- Search for Microsoft Azure OpenAi Embedding in the node search field.
- Click the node to add it to the pathway editor.
Step 2 - choose your credential and model#
- Choose your credential
- Select a model loaded from your account
Step 3 - add optional parameters#
Click Add option to edit the following parameters:
| Parameter | Description | Additional information |
|---|---|---|
| Batch size | Maximum documents to send in each request | Learn about OpenAi batches |
| Strip new lines | Toggle on to remove new lines of text from input | |
| Timeout | Maximum in milliseconds a request can take | Set to -1 for no timeout |