Bobur Umurzokov - Build AI-powered data pipeline without vector databases | PyData Global 2023


Build AI-powered data pipelines without vector databases using Pathway, an open-source project that simplifies AI application development with a unified API for data ingestion, pre-processing, and model training.

Key takeaways
  • Vector databases are not necessary for building AI applications. Pathway, an open-source project, allows developers to build AI applications without using vector databases.

  • Pathway simplifies the process of building AI applications. It provides a unified API for ingesting data from various sources, pre-processing it, and training models.

  • Pathway can be used to build a variety of AI applications, including:

    • Real-time alerting
    • Fraud detection
    • Recommendation systems
    • Chatbots
  • Pathway is easy to use, even for developers who are new to AI. It provides a simple and intuitive interface that makes it easy to get started.

  • Pathway is scalable and can be used to build applications that handle large amounts of data. It is also fault-tolerant and can recover from failures quickly.

  • Pathway is open-source and free to use. It is also supported by a community of developers who are always willing to help.

  • Pathway is a powerful tool that can be used to build a wide variety of AI applications. It is easy to use, scalable, and fault-tolerant. It is also open-source and free to use.

  • Pathway can help developers to build AI applications that are more accurate, efficient, and scalable. It can also help developers to build AI applications that are more user-friendly and easier to use.

  • Pathway is a valuable tool for developers who are looking to build AI applications. It can help developers to save time and money, and it can also help them to build better AI applications.

  • Pathway is a promising new tool that has the potential to revolutionize the way that AI applications are built. It is a tool that all developers should be aware of.