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1. Create vector store

<p>This workflow creates a vector store from a company database containing FAQs. It uses a local LLM embeddings model. <br></p>

Create Vector Store

Read the company database and read the file with the FAQ, create embeddings and create a vector store.

Get FAQ data

Access local LLM for embeddings

Save Vector Store

Connect to companydatabase
SQLite Connector
Write vector storeto filevector_store.model
Model Writer
Select the table
DB Table Selector
Read faq data
DB Reader
download modelfrom GPT4All
GPT4All Embedding Model Selector
Create vector store
FAISS Vector Store Creator

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: emiliosilvestri
Created at: 2026-02-27
On NodePit since: 2026-03-11
Last update: 2026-03-11
Created with KNIME version: v5.11.0

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