Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
Development framework based on message driven provided
...Implement equipment chain and provide unified equipment operation interface (including file、pipe and socket etc.)
3. Implement the basic network protocol module: dns /udp/tcp/ssl/ftp/http/rtsp/proxy/websocket
4. Implement high-precision timer
5. Implement the application module:
DTP supports TCP/UDP port multiplexing
DNS supports TCP UDP/HTTP domain name resolution and include httpdns of Tencent cloud / Alibaba cloud
Lua facilitates application product integration and business logic control
Zip supports deflate / inflate data and zip multiple files
Console realizes console,which is convenient for debugging
and so on