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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.
The fax4j project has moved to github at: https://github.com/sagiegurari/fax4j
Latest release is no longer hosted here, instead go to: https://github.com/sagiegurari/fax4j/releases/latest
OpenSubsystems is set of business components such as security, search, inventory management, able to run on various J2EE servers or just using JVM thanks to unique middleware abstraction layer and repository of common application functionality patterns
Svarog is a real time web based call center which is based on AsteriskPBX, including technologies such as portlets, ajax (DWR/Dojo), jsf (MyFaces) and SpringFramework.
The project purpose is to allow SAP R/3 servers to communicate with external devices such as fax and GSM modems by sending and receiving a fax or SMS. The system provides an easy way of configuration based on web interface and JMX console.
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.