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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Set of Java classes to create, access, edit and validate eXtensible Business Reporting Language (XBRL) documents, which both includes XBRL Instances and XBRL Taxonomies according to the XBRL 2.1 Specification.
Library (.NET and Java) to generate and process data in XBRL Global Ledger (XBRL GL) format and link it with multiple XBRL taxonomies for XBRL data generation and reconciliation. Please subscribe to the project RSS feed for upcoming additional features.