How did you prepare documents for RAG (chunking, embeddings, Milvus)?
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How did you prepare documents for RAG (chunking, embeddings, Milvus)?
Tell us about yourself and your experience.
Why was Mistral further trained on QLora with 3000 dialogues for the RAG support system?
How was the quality of the fine-tuned model evaluated?
Task: In 1000 documents, there are 10 almost identical ones (differing only by a number in the middle — call price for different regions). How will this affect RAG and how to solve the problem?
What is the reason for leaving your current company?