A new node for creating and using Google VetexAI Search for vector embedding

[ramanyala]

The idea is:

To be able to use the Google VetexAI Search for creating/generating/Embedding, refer to the below url which has the python code using the google sdk to perform the setup.

‘’'generative-ai/search/custom-embeddings/custom_embeddings.ipynb at main · GoogleCloudPlatform/generative-ai · GitHub

My use case:

I would like to use a Cloud Storage bucket to store documents and would like to embed the documents from cloud storage bucket using embedding model and embed into vertexAI search

I think it would be beneficial to add this because:

I would like to make use of the all the google cloud related nodes for storage, text LLM, embedding LLM,

Any resources to support this?

Here are references and the code used within the notebook demonstrates how to:

• Get text embeddings using textembedding-gecko in Vertex AI
• Convert embeddings into the format expected by Vertex AI Search
• Create a search app with custom embeddings

''generative-ai/search/custom-embeddings/custom_embeddings.ipynb at main · GoogleCloudPlatform/generative-ai · GitHub

Are you willing to work on this?

I might no have the right skills, I can give it a try.