Part 2: Populating Your Vector Database – Embedding and Uploading Data
In our previous post, we covered the fundamental concepts of RAG and set up our environment, including our LLM/embedding provider and Qdrant vector database. Now, it's time to prepare our data and store it in a way that allows for efficient semantic ...
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