End-to-end RAG using Airbyte Cloud, S3 and Snowflake Cortex

Aviraj Gour, a final-year B.Tech student in Mathematics and Computing at the National Institute of Technology, Hamirpur, shares insights on building an end-to-end RAG pipeline using Airbyte Cloud, Amazon S3, and Snowflake Cortex. The pipeline facilitates loading data into a vector store and querying it with large language models (LLMs). Aviraj's experience includes interning at Tech4Dev, creating source connectors, improving workflows, and contributing to open-source projects, which led to consecutive wins in Airbyte hackathons. The blog post invites readers to try the new platform, Airbyte Agents, and subscribe to their newsletter for the latest updates on the data stack.

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