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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OpenJCS (Job Control System) is a batch scheduling and control system for use on Unix systems which uses load balancing, dependency control, scheduling, runbooks, queueing and resource allocation subsystems for unmatched scalability and flexibility.
Sequoia is a database clustering middleware offering load balancing and transparent failover. Databases are replicated over multiple nodes and Sequoia balances the queries between them. Sequoia supports online maintenance and recovery operations.
The underlayer is a symmetric decentralized parallel computing and load balancing framework, providing c, perl and java APIs for distributed job management.
distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.