implementation_rag laigit-dot · COMPLETED

LLMs are trained on a large but fixed corpus of data, limiting their ability to reason about private or recent information. Fine-tuning is one way to mitigate this, but is often not well-suited for factual recall and can be costly. Retrieval augmented generation (RAG) has emerged as a popular and powerful mechanism to expand an LLM's knowledge base

github.com/laigit-dot/implementation_rag · ★ 10 · Forks 0 · Size 6.7 MB

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