RAG System · Python
my adventures into another dimension (384 in one case, 4096 in the other)
The repository implements a multi-stage Retrieval Augmented Generation (RAG) system for answering questions based on Acquired podcast transcripts, incorporating vector similarity search and a Neo4j graph store for enhanced retrieval.
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