🦙 LlamaIndex Integration

LlamaIndex Web Knowledge Ingestion

Build high-recall query engines over the live web. FlyCrawl extracts clean Fit-Markdown from dynamic sites, keeping your LlamaIndex vector store pristine.

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Python LlamaIndex Snippet 
from llama_index.core import Document, VectorStoreIndex
from flycrawl import FlyCrawl

client = FlyCrawl(api_key="YOUR_KEY")
res = client.scrape_url("https://docs.example.com")

doc = Document(text=res["markdown"], metadata={"url": res["url"]})
index = VectorStoreIndex.from_documents([doc])
query_engine = index.as_query_engine()