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Implemented vector embeddings on the dataset and store them in Qdrant a vector DB. Implemented LLM on the DB that can give contextual answers to the queries. Wrapped this LLM as an API using FastAPI and streamlit.

active 2023-11-272023-11-27 (UTC)

Complete coverage27,222 / 27,224 hourly files (100%) · 2 absent upstream2023-08-152026-09-22 (UTC)
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