Enhancing Semantic Search with a Streamlit UI
Read OriginalThis technical article details the process of creating a user interface with Streamlit for a semantic search system. It builds upon previous Python scripts that used Pinecone for vector storage and retrieval, explaining how to wrap the search functionality into an interactive web app. The post covers key concepts like vectors, embeddings, and semantic search, and provides a code walkthrough for the Streamlit implementation.
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