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Context for your AI agents
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.
C++ templates with generic nonlinear optimization algorithms
Highly tunable, simple to use collection of the templates, containing a set of classes for solving unconstrained large scale nonlinear optimization problems. Currently it contains:
-- Limited Memory Quasi Newton (L-BFSG)
-- BFSG
-- Conjugate Gradient
-- Gradient Descent
-- Wolf condition Line Search
-- Backtracking Line Search
-- Exact Golden Search
-- Golden Search with Wolf condition
We also distribute a set of tests with the library.