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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.
Tools for developing and testing and submitting FreeBSD ports
FreeBSD Port Tools consist of the several small scripts run from port(1) front-end:
- port commit: commit a port into the FreeBSD Ports CVS Repository
- port create: create a new port from a template
- port diff: generate a diff against a previous version of the port
- port fetch: fetch distfile(s) of a new version of the port
- port getpr: get patch/shar from a PR
- port help: display usage summary for port(1) commands
- port install: install a port
- port submit: submit a PR with new port, or port change/update
- port test: automate testing a new port or a port update
- port upgrade: upgrade a port
Portrookies is a collective effort to help people gaining experience in creating and maintaining FreeBSD ports without being obliged to the high standards of the ports collection. It is also a great place to test experimental ports until they stabilize.
Non-root users construct, develop, test and run all types of distributions with
Root Methods (Yard, etc.) and user-mode-linux, then finish with a Boot Method
(2-disk compression, etc). Make_debian yard template creator provided for
Debian users.
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.