https://github.com/genmech/rag

Retrieval-Augmented Generation (RAG) is a powerful and popular technique that applies specialized knowledge to large language models (LLMs).
https://github.com/genmech/rag

Last synced: about 1 year ago
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Retrieval-Augmented Generation (RAG) is a powerful and popular technique that applies specialized knowledge to large language models (LLMs).

• Host: GitHub
• URL: https://github.com/genmech/rag
• Owner: GenMech
• Created: 2024-06-25T10:08:31.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2024-06-25T10:12:50.000Z (almost 2 years ago)
• Last Synced: 2025-01-21T12:11:32.799Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Retrieval-Augmented Generation (RAG) 

If is a powerful and popular technique that applies specialized knowledge to large language models (LLMs). However, traditional RAG methods tend to have increasingly long prompts, sometimes exceeding 40k, which can result in high financial and latency costs. Moreover, the decreased information density within the prompts can lead to performance degradation in LLMs, such as the "lost in the middle" issue.

# Tools Used

- Pinecone

- GroqCloud

- Cohere