https://github.com/subhangisati/rag-using-deepseek-r1
This repository highlights my learning journey in building Retrieval-Augmented Generation (RAG) pipelines using DeepSeek on Lightning AI, covering document ingestion, retrieval, and integration with generative AI. It showcases fine-tuning, evaluation, and optimization for accurate open-domain QA and knowledge management.
https://github.com/subhangisati/rag-using-deepseek-r1
api deepseek document-indexing embedding-models fine-tuning generative-ai gpt huggingface-transformers langchain llm rag
Last synced: 2 months ago
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This repository highlights my learning journey in building Retrieval-Augmented Generation (RAG) pipelines using DeepSeek on Lightning AI, covering document ingestion, retrieval, and integration with generative AI. It showcases fine-tuning, evaluation, and optimization for accurate open-domain QA and knowledge management.
- Host: GitHub
- URL: https://github.com/subhangisati/rag-using-deepseek-r1
- Owner: SubhangiSati
- Created: 2025-01-24T12:27:45.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-24T12:35:59.000Z (4 months ago)
- Last Synced: 2025-01-24T13:29:39.854Z (4 months ago)
- Topics: api, deepseek, document-indexing, embedding-models, fine-tuning, generative-ai, gpt, huggingface-transformers, langchain, llm, rag
- Language: Jupyter Notebook
- Homepage:
- Size: 1.01 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0