Skill

Integrate Box Content with Llama Index

Seamlessly integrate Box content with Llama Index agents for enhanced data access, search, and analysis. Includes search, text extraction, and AI-powered

Works with box

76
Spark score
out of 100
Updated 3 months ago
Version 1.0.0
Models

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Why it matters

Empower your Llama Index agents to access, understand, and utilize information stored in Box. This suite of tools provides an agnostic interface for seamless integration with any Llama Index agent.

Outcomes

What it gets done

01

Search Box resources by keywords and metadata.

02

Extract plain text content from supported Box file formats.

03

Analyze Box content using Box AI features and prompts.

04

Extract structured data from Box content using Box AI.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/li-tool-tools-box | bash

Capabilities

What this skill does

Extract

Pulls structured data fields from unstructured text.

RAG index

Chunks, embeds, and indexes documents for semantic retrieval.

Overview

Box Tools for Llama-Index

What it does

This repository provides a suite of Python tools for seamlessly integrating Box content with Llama Index. These tools offer an agnostic interface, allowing them to be used within any agent built within the Llama Index framework.

Source README

Box Tools for Llama-Index

This repository provides a suite of Python tools for seamlessly integrating Box content with Llama Index. These tools offer an agnostic interface, allowing them to be used within any agent built within the Llama Index framework.

Available tools include:

  • Box Search: Search for Box resources based on keywords and various filtering options.
  • Search by Metadata: Search for Box resources based on specific metadata fields (e.g., owner, creation date).
  • Text Extraction: Extract plain text content from supported Box file formats.
  • Box AI Prompt: Utilize Box AI features to analyze Box content based on user-defined prompts.
  • Box AI Extract: Extract structured data from Box content using pre-trained Box AI models.

By leveraging these tools, developers can empower their Llama Index agents to access, understand, and utilize valuable information stored within Box.

Check the links above for detailed usage instructions and examples for each tool.

Discussion

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