sujee/mongodb-atlas-vector-search
Using MongDB Atlas with embedding models and LLMs to do vector search and RAG applications
Provides hands-on labs demonstrating vector indexing, semantic search with both OpenAI and open-source embedding models, and document-based RAG pipelines with LLM integration. Includes benchmarking comparisons across embedding models and LLMs, plus a Streamlit reference application and Docker deployment guidance for production use.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Aug 23, 2024
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