Simple RAG Consumption with Pinecone

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Configuring and publishing the processes

The Get Gemini Embeddings process, Pinecone Upsert Embedding process, and Fill Empty Pinecone Index Using Gemini AI process consume the user's input text, modify it to a vector representation, and save it to the Pinecone index.

To configure and publish the processes, perform the following steps:

Open the following processes in the order specified below:

Get Gemini Embeddings

Pinecone Upsert Embedding

Fill Empty Pinecone Index Using Gemini AI

Get Embeddings

Query Pinecone

Generate Embeddings Model

Query LLM With Context (Gemini)

Query LLM with Context using Embeddings Model

For each process, on the Start
tab of the Start step, select Cloud Server
from the Run On
list.

Optionally, for the Query LLM with Context using Embeddings Model
process, in the Set LLM Models
step, in the Assignments
tab, you can update the values in the Set_Context_Model
and Set_Embedding_Model
fields.

Save and publish all the processes.

Using the Simple RAG Consumption with Pinecone recipe

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