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llmstxt-generator

llmstxt-generator

Generate LLM training data effectively by integrating website content into a single text file.
Author:LoRA
Inclusion Time:14 Mar 2025
Visits:2336
Pricing Model:Free
Introduction

llmstxt-generator is a tool for generating website content integration text files required for LLM (large language model) training and inference. It supports the generation of standard llms.txt and full llms-full.txt versions by crawling website content and merging it into a text file. This tool is powered by firecrawl_dev for web crawling and text processing using GPT-4-mini. Its main advantages include the use of basic functions without API keys, and also providing web interface and API access, which facilitates users to quickly generate required text files.

Demand population:

"This product is suitable for developers, researchers and data scientists who need LLM training and reasoning, helping them quickly acquire and integrate text data for model training."

Example of usage scenarios:

Developers can use this tool to generate text data for training chatbots.

Researchers can use the generated text files to train and test natural language processing models.

Data scientists can integrate content from multiple websites to generate large-scale text data sets for machine learning projects.

Product Features:

Crawl the website content and integrate it into a single text file

Generate standard and full version of llms.txt files

Provides web interface and API access

Basic features are available without API keys

Supports multiple website types and content formats

Quickly generate text data for LLM training and inference

Support local development and deployment

Tutorials for use:

Visit https://llmstxt.firecrawl.dev to generate files using the web interface.

Accessed via API: GET https://llmstxt.firecrawl.dev/[YOUR_URL_HERE].

In the local development environment, create a .env file and configure the relevant environment variables.

Run npm install to install dependencies and start the local server using npm run dev.

Access the local server through the browser and enter the target website URL to generate a text file.

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