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The differences between prompt context, RAG, and fine-tuning and why we chose prompting
When integrating internal knowledge into AI applications, three main approaches stand out:
1. Prompt Context Load all relevant information into the context window and leverage prompt caching.
2. Retrieval-Augmented Generation (RAG) Use text embeddings to fetch only the most relevant information for each query.
3. Fine-Tuning Train a foundation model to better align with specific needs.
Each approach has its own strengths and trade-offs: