Code & Development · GitHub ·97 ★

LLMWebCrawler

A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.

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Details

Author
Aavache
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
97
First indexed
2026-05-15
Last active
2023-10-15
Directory sync
2026-05-15
@Aavache

Overview

A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.

Quick start

git

git clone https://github.com/Aavache/LLMWebCrawler

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What LLMWebCrawler can do

apidataragembeddingllm
  • Api — api task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Llm — llm task automation.

Frequently asked questions

What is LLMWebCrawler?
A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.
How do I install LLMWebCrawler?
Use git: `git clone https://github.com/Aavache/LLMWebCrawler`. Full setup details on the source page linked above.
Is LLMWebCrawler open source?
LLMWebCrawler is published on GitHub.
What are alternatives to LLMWebCrawler?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for LLMWebCrawler is sourced from GitHub, published by Aavache.

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