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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.
Rxx : an RSS/ATOM switch or Xbar
We want to build a flexible component for middleware been able to mix and transform the notifications provided by RSS/ATOM feed. Will be able to handle several type of data and metadata encapsulate into this feeds.
An Internet Corpus Linguistics analysis tool focusing on lexical variation over time and by geographical location. Initially the project will analyze word frequencies over time in the Linux Kernel Mailing List.
Terrier is a RBAC framework, business oriented and with focus on manageability and access control. Integrating all company tecnhnologies (java, ruby, delphi and others). The owner of a system can manage and delegate manageability to the systems, reducing
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.