如何使用 ChromaDB 與 Mistral 實現檢索增強生成 (RAG)
Original: How to use retrieval augmented generation with ChromaDB and Mistral
This technical blog post from Replicate provides a detailed walkthrough of how to build a basic Retrieval-Augmented Generation (RAG)…
這是一篇由 Replicate 釋出的實用教學，指導開發者如何建構檢索增強生成（RAG）系統。文章詳細說明了如何使用 bge-large-en 模型生成文本嵌入向量，並將其儲存於 ChromaDB 向量資料庫中。最後，透過部署在 Replicate 上的 Mistral-7B-Instruct 模型，根據檢索到的上下文生成精確的回答。
This technical blog post from Replicate provides a detailed walkthrough of how to build a basic Retrieval-Augmented Generation (RAG) application from scratch. RAG technology effectively addresses the problem of large language models (LLMs) producing hallucinations or lacking up-to-date or domain-specific private knowledge.
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