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mixtral-8x7b

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A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.

  • Updated Nov 23, 2024
  • Java

A versatile CLI and Python wrapper for Groq AI's breakthrough LPU Inference Engine. Streamline the creation of chatbots and generate dynamic text with speeds of up to 800 tokens/sec.

  • Updated Sep 12, 2024
  • Python

The MistralAI API wrapper for Delphi utilizes the various advanced models developed by Mistral to provide robust capabilities for chat interactions, string embeddings, and precise code generation with Codestral.

  • Updated Sep 25, 2024
  • Pascal

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