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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.
A universal chemistry database system, using Java and any rdbms
...The system holds atoms and bonds as entities in the rdbms, this makes it possible to have properties recorded using foreign keys and referential integrity. Apache Torque is used for database access. The build system of the project makes it possible to add properties directly to the molecule/atom/bond tables. This makes it more flexible than systems where structures are saved as monolithic blobs in a single table.
The program fuses 2 sets of molecules. It tries different relative positions of molecules before binding them, so that there is no or minimal intersection in the resulting molecule. The atom to be fused in a molecule is labeled with an R symbol.