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m4r71n | 6 months ago

How does this work under the hood? Does it build an in-memory vector database of the input sources and runs queries on top of that data to supplement the context window?

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menaerus|6 months ago

RAG commonly implies some sort of vector database to be built and which will then be used for response augmentation. If it operates over the repo, I believe it will index your codebase using those vector embeddings.