Google Embedding nodes for PaLM2 and Gemini#
Two embeddings available from Google:
- Google PaLM2
- Google Gemini
Note
Embedding nodes must be connected to an Ensemble Agent and Vector Store 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 how to authenticate with Google PaLM
- Add a pathway
Step 1 - add the node#
- Click + to open the nodes panel
- Search for Google 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