The framework is designed to run smoothly on both individual laptops and across thousands of autoscaling nodes, making it suitable for both prototyping and production. It also comes with pre-configured deployment templates for Kubernetes, VMs, and bare metal, and offers full observability out of the box. Indexify can be deployed across multiple clouds for maximum flexibility and cost efficiency. It also provides enterprise-grade tooling, end-to-end observability and monitoring, and can be integrated with existing LLM applications and vector databases.
Key takeaways:
- Indexify is an open-source data framework that allows the building of fast AI applications, it features a real-time extraction engine and pre-built extraction adapters.
- It supports querying of unstructured data like images, videos, and PDFs with semantic search and SQL, ensuring the most accurate, up-to-date data for every response.
- Indexify can be deployed across multiple clouds for maximum flexibility and cost efficiency, and it runs smoothly on various platforms, from a personal laptop to thousands of autoscaling nodes.
- It offers end-to-end observability and monitoring, and can be integrated with existing LLM applications and vector databases without the need to change existing infrastructure.