Adding RAG to a Vercel Eve Agent with Upstash Redis Search

Vercel's new framework, Eve, has been utilized to develop Ask HackerNews, a demo agent that answers queries about HackerNews by leveraging retrieval-augmented generation (RAG) instead of relying solely on the model's memory. The agent uses Upstash Redis Search to query a comprehensive index of HackerNews data, enabling it to respond to questions about topics like "top stories about Rust" or "average scores of stories vs jobs." Built using Eve's filesystem-first approach, the agent's capabilities are structured as files, and the project incorporates a Next.js chat UI for user interaction. The agent employs three main tools—query, count, and aggregate—which interact with the Upstash Redis Search index using a versatile query language that supports full-text search, filtering, and sorting. This setup allows the model to dynamically construct its own search queries, ensuring responses are based on real data. The flexibility and expressiveness of Upstash Redis Search make it well-suited for RAG applications, as demonstrated by the project's accessible source code available on GitHub.

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