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Quick RAG

Instantly process text or a URL to answer a specific query. (Max 200k characters)

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Quick RAG

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Flow
Context
Tool
Flow
Not connectedFlow
Source
Query

Description

The Quick RAG node allows you to quickly retrieve relevant information from a given text source or URL based on a specific query. This node is ideal for scenarios where you need to extract insights or answers from large bodies of text without setting up a full RAG pipeline. It can handle up to 200k characters, making it suitable for processing articles, documents, or web pages.

Common Use Cases

  • Extracting key information from a news article based on a specific question.
  • Summarizing the main points of a long document in response to a query.
  • Retrieving relevant sections from a web page to answer a user's question.

Inputs

The input connections this node accepts:

NameDescriptionTypeFlowThe flow of the workflowFlowSourceURL to scrape or Raw Text to analyzeTextQueryThe question you want to ask about this sourceText

Outputs

The output connections this node provides:

NameDescriptionTypeFlowThe Flow to triggerFlowContextRetrieved Context (The relevant parts of the text)TextToolThe tool version of this nodeTool

Fields

The configurable fields this node provides:

NameDescriptionTypeSourceURL or Text contentValue: ``TextAreaQueryWhat do you want to find?Value: ``Text

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Objects To Map

Convert object to map

Knowledge Base

Load your pre-processed Knowledge Base to use it in LLMs

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Description
Common Use Cases
Inputs
Outputs
Fields