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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

  • No modules found

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: 2026-07-21
Created with KNIME version: v5.11.0

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