Natural Language Querying using RAG LLMs with Excel Sheets as the context
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Updated
Oct 29, 2024 - Jupyter Notebook
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natural-language-querying
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A two-step framework for extracting textual answers from egocentric videos via NLQ, combining VSLNet for segment localization and Video-LLaVA for efficient answer generation.
nlq episodic-memory video-retrieval egocentric-videos ego4d vision-language-models natural-language-querying video-llava
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Mar 9, 2026 - Python
Production-style Snowflake data pipeline implementing Medallion Architecture (Bronze–Silver–Gold), incremental processing using Dynamic Tables, SCD Type 2 dimensions, and a semantic layer enabling natural language-to-SQL querying using Cortex Analyst.
sql pipeline data-transformation snowflake artificial-intelligence data-engineering cortex data-cleaning-and-preprocessing natural-language-querying cortex-analyst cortex-code
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Updated
Mar 27, 2026
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