A basic RAG pipeline which uses gemma 2 model to answer the user query with the external knowledge stored in a vector database.
data-science machine-learning natural-language-processing information-retrieval gemma python-project document-search hnsw pdf-processing vector-database sentence-transformers huggingface-transformers ann-search streamlit-app llm chromadb retrieval-augmented-generation groq-api rag-pipeline uv-package-manager
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Updated
Sep 17, 2025 - Jupyter Notebook