Search code, repositories, users, issues, pull requests...
submited by
Style Pass
This is a fullstack example of how to build a RAG (Retrieval Augmented Generation) app with Cloudflare. It uses Cloudflare Workers, Pages, D1, KV, R2, AI Gateway and Workers AI.
Then, in wrangler.toml, set the d1_databases.database_id to your D1 database id and kv_namespaces.rate_limiter to your rate limiter KV namespace id.
This project uses a combination of classical Full Text Search (sparse) against Cloudflare D1 and Hybrid Search with embeddings against Vectorize (dense) to provide the best of both worlds providing the most applicable context to the LLM.
Read more github.com/R...
