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🧠 ENTERPRISE RAG & VECTOR INGESTION ENGINE

Clean Web Data & Native Embeddings for High-Accuracy RAG

Garbage in, garbage out. Raw HTML scrapers contaminate your vector database with cookie banners, navbars, and boilerplate. FlyCrawl extracts clean, semantic Fit-Markdown and generates native 1536/3072-dim embeddings in a single API round-trip.

⚡ Build Better RAG Free (100 Cr) 🔗 LangChain & LlamaIndex
POST /api/v1/scrape (RAG Vector Pipeline) 
curl -X POST "https://flycrawl.net/api/v1/scrape" \
  -H "Authorization: Bearer fly_live_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://docs.anthropic.com/en/docs/overview",
    "formats": ["markdown", "chunks", "embeddings"],
    "embeddings": {
      "model": "text-embedding-3-small",
      "dimensions": 1536
    }
  }'
🔄 STREAMLINED RAG PIPELINE

From Live Web to Production Vectors in Seconds

How FlyCrawl eliminates 90% of boilerplate preprocessing and saves thousands of dollars in LLM embedding tokens.

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STEP 1

Autonomous Crawl & Render

Renders client-side dynamic React, Vue, and SPA apps, bypassing Cloudflare challenges and paywalls automatically.

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STEP 2

Fit-Markdown Noise Stripping

Heuristic engine removes menus, cookie banners, tracking scripts, and footers while preserving headers, code blocks, and markdown tables.

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STEP 3

Semantic Chunking

Splits articles by semantic headers (H1, H2, H3) instead of naive character counts, preventing code snippet or table fragmentation.

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STEP 4

Direct Vector Ingestion

Generates 1536-dim or 3072-dim embeddings ready for direct batch upsert into Pinecone, Qdrant, Chroma, or PostgreSQL pgvector.

Engineered for Production RAG Accuracy

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90%+ Token Context Reduction

Fit-Markdown Heuristics

Raw web pages contain thousands of useless tokens. Fit-Markdown filters out HTML markup and style sheets while retaining critical contextual headers, markdown tables, and source code.

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Markdown Tables & Code Integrity

Syntax & Data Preservation

RAG systems fail when tables lose column headers. FlyCrawl reconstructs complex multi-row HTML tables into GFM Markdown tables so LLM agents can query structured rows cleanly.

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Universal Vector DB Compatibility

Pinecone, Qdrant, Milvus & pgvector

Outputs standardized JSON/JSONL with source URL metadata, timestamps, chunk IDs, and vector arrays ready for one-line bulk upserts in your preferred vector index.

Python Implementation Example: Web to Pinecone RAG

Scrape live documentation and upsert into your vector index in less than 15 lines of clean Python code: 

import requests
from pinecone import Pinecone

# 1. Fetch clean chunks and embeddings from FlyCrawl
resp = requests.post(
    "https://flycrawl.net/api/v1/scrape",
    headers={"Authorization": "Bearer fly_live_your_api_key"},
    json={
        "url": "https://fastapi.tiangolo.com/tutorial/",
        "formats": ["markdown", "chunks", "embeddings"],
        "embeddings": {"model": "text-embedding-3-small", "dimensions": 1536}
    }
).json()

# 2. Direct upsert into your Pinecone vector index
pc = Pinecone(api_key="your_pinecone_key")
index = pc.Index("enterprise-rag")

vectors_to_upsert = [
    {
        "id": chunk["id"],
        "values": chunk["embedding"],
        "metadata": {"text": chunk["text"], "source": resp["data"]["metadata"]["url"]}
    }
    for chunk in resp["data"]["chunks"]
]
index.upsert(vectors=vectors_to_upsert)
print(f"✅ Successfully indexed {len(vectors_to_upsert)} clean semantic chunks!")

Frequently Asked Questions

How does FlyCrawl prevent hallucinations in RAG retrieval?

By delivering strictly clean Fit-Markdown without ads, navigation scripts, or duplicated link lists, your embedding vectors represent factual content only. Clean chunks mean vector similarity queries retrieve exact relevant answers.

Can I schedule recurring crawls to keep my RAG vectors fresh?

Yes! FlyCrawl includes built-in Recurring Schedules (/App/Schedules) that can crawl target documentation sites hourly or daily and automatically send updated Markdown and embeddings to your webhook.

Is JavaScript rendering included for dynamic single-page applications?

Yes, automated cloud browser rendering is included on all plans without extra hidden charges. If a site requires client-side JavaScript to render documentation, FlyCrawl executes the DOM seamlessly.

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