SyncCrawl™: Web Crawling & RAG Knowledge Platform

SyncCrawl™ is an enterprise web data collection and RAG (Retrieval-Augmented Generation) knowledge construction platform combining Natural Language Processing (NLP), Playwright MCP browser automation, and vector knowledge pipelines.

When target website UI/DOM layouts change, SyncCrawl analyzes context to reconstruct selectors (Self-Healing), continuously refining and embedding unstructured web data into enterprise vector knowledge stores.

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Core Capabilities & Architecture

SyncCrawl addresses the maintenance challenges of traditional crawlers and unifies data harvesting with vector indexing.

1. Adaptive Crawling (Self-Healing Crawling)

• Natural Language Parsing: Define crawling tasks using standard business language (e.g., "Collect and summarize the 10 latest press releases with attachments").
• Adaptive Selector Recovery: When CSS/XPath selectors break due to site redesigns, the agent inspects DOM semantics to locate target elements.

2. Enterprise RAG Knowledge Base

• Context-Preserving Chunking: Extracts main content while preserving document structure and metadata.
• Multilingual Embeddings: Supports domain-optimized embedding models for semantic retrieval.
• Vector DB Integration: Provides synchronization with PGVector, Milvus, Qdrant, and Weaviate.

3. Distributed Runtime & Enterprise Security

• 4 Distributed Container Images: Server, Agent, Scenario-Agent, and Console allow independent scaling in Kubernetes.
• SSRF Defense: Integrated BrowserNavigateUrlValidator validates URLs against private network exploration and unauthorized redirects.
• Air-Gapped Network Support: Operates in isolated environments with private LLM instances (vLLM, Ollama).

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Technical Specifications Summary

Category	Supported Technologies & Specs
Core Backend	Java 21, Spring Boot 3.5, LangChain4j, Flyway
Browser Automation	Playwright MCP, Headless Chromium, Distributed Workers
Storage & Cache	PostgreSQL, Redis, MinIO / S3 Object Storage
Vector Databases	PGVector, Milvus, Qdrant, Weaviate
Management Console	Vue 3, Vite, TypeScript, Quasar Design System
Deployment	Docker Multi-Arch (amd64/arm64), Kubernetes (AKS), Air-Gapped Runner

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Documentation Sections

• System Architecture & Clean Architecture: 4-layer distributed architecture and service topology
• Adaptive Crawling & AI Self-Healing Engine: Playwright MCP and dynamic selector recovery algorithm
• RAG Knowledge Pipeline & Vector Storage: Data cleaning, semantic chunking, and Vector DB synchronization
• Enterprise Security & Air-Gapped Governance: SSRF protection, isolated networks, and RBAC audit trail
• REST API & MCP Tool Reference: Endpoints, JSON response schemas, and MCP specifications
• Enterprise FAQ & Adoption Guide: Anti-bot mitigation, scaling, and compliance FAQs