RAG

RAG Pipeline implementation with results evaluation through RAGAS

LLM Observability https://aswin.ai/portfolio/blogs/llmops

Name		Name	Last commit message	Last commit date
Copy_of_rag_pipeline_pymupdf_multiple_docs_persisted_chromadb.ipynb		Copy_of_rag_pipeline_pymupdf_multiple_docs_persisted_chromadb.ipynb
Dataset		Dataset
Lyft10K_of_rag_pipeline_pymupdf_langsmith_article.ipynb		Lyft10K_of_rag_pipeline_pymupdf_langsmith_article.ipynb
Lyft10K_of_rag_pipeline_pymupdf_langsmith_observability_metrics.ipynb		Lyft10K_of_rag_pipeline_pymupdf_langsmith_observability_metrics.ipynb
RAG_DeepSeekR1.ipynb		RAG_DeepSeekR1.ipynb
RAG_DeepSeekR1_GGUF.ipynb		RAG_DeepSeekR1_GGUF.ipynb
RAG_with_Evaluation_using_RAGAS.ipynb		RAG_with_Evaluation_using_RAGAS.ipynb
README.md		README.md
Rag_gemini_flash.ipynb		Rag_gemini_flash.ipynb
Rag_pipeline_pymupdf_multiple_docs_persisted_chromadb.ipynb		Rag_pipeline_pymupdf_multiple_docs_persisted_chromadb.ipynb

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