Vector Store to Tool

This node 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, for 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: 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 Python Extension Development (Labs) from the below update site following our NodePit Product and Node Installation Guide:

v5.3

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.3.v202410291554

On NodePit since: 2024-07-09

Last update: 2024-11-21

KNIME versions: Since v5.2

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