Use case
RAG chatbot
A chatbot that answers from your own documents instead of from the model's memory, so answers can be traced back to a source.
What it takes
In the order you would adopt them. Every step opens in the knowledge graph.
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Family of decoder-only Transformer language models trained with a generative objective.
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Dense numeric vector representing the meaning of a piece of text.
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Open-source vector database written in Rust, with payload filtering.
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Framework for composing language models with retrieval, tools and memory.
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Second-stage ordering of retrieved candidates by a more accurate scoring model.