Vector Store to Tool

Turns a vector store into a tool by providing it with a name and a description. This tool can then be used by an agent during the execution of the Agent Prompter node to dynamically retrieve relevant documents from the underlying vector store.

A meaningful name and description are very important:

Example:

Name: KNIME_Node_Description_QA_System

Description: Use this tool whenever you need information about which nodes a user would need in a given situation or if you need information about nodes' configuration options.

Note that OpenAI Functions Agents require the name to contain no whitespace while other kinds of agents may not have this restriction.

Options

Tool name: The name for the tool. Note that OpenAI Functions Agents require the name to contain no whitespace, while other types of agents may not have this restriction.
Tool description: The description of the tool by which an agent decides whether or not to use the tool. Provide a meaningful description to make the agent decide more optimally. Note that the tool description cannot be empty for OpenAI Functions Agents.
Retrieved documents: The number of top results that the tool will provide from the vector store.
Retrieve sources from documents: Whether or not to retrieve document sources if provided.
Source metadata: The metadata containing the sources of the documents.

Input Ports

: A large language model.
: A loaded vector store.

Output Ports

: A tool for an agent to use.

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Installation

To use this node in KNIME, install the extension KNIME AI Extension (Labs) from the below update site following our NodePit Product and Node Installation Guide:

v5.2

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.2.1.202402071416

On NodePit since: 2024-02-07

Last update: 2024-05-09

KNIME versions: Since v5.2

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