Build a RAG Pipeline with Cloudflare Workers AI and Voyage AI!
Tech Talks
Build a RAG Pipeline with Cloudflare Workers AI and Voyage AI!
Learn how to create a Retriever-Augmented Generation (RAG) pipeline with Python to supercharge LLM responses using Llama-3.2, hosted on Cloudflare Workers AI! 🌐 Here’s how it works: 1️⃣ Extract text from a URL and break it into chunks for better processing. 2️⃣ Use Voyage AI to embed chunks and build two indexes: FAISS (L2 Distance): Semantic search. BM25: Keyword matching. 3️⃣ Hybrid search combines both for accurate retrieval. 4️⃣ Feed relevant chunks to Llama-3.2 hosted on Cloudflare Workers AI for contextually relevant answers. 📌 Perfect for Q&A systems or document search tools! Create an account on Cloudflare today for free: https://dash.cloudflare.com/sign-up Tools mentioned: https://developers.cloudflare.com https://developers.cloudflare.com/workers/ https://developers.cloudflare.com/workers-ai/ https://www.voyageai.com/ https://pypi.org/project/rank-bm25/ GitHub repo: https://github.com/elizabethsiegle/python-chat-over-doc-retriever-pipeline #cloudflare #cloudflareworkers #developer
- Category
- Tech Talks
- Release date
- January 22, 2025