Use to design a pipeline that vectorises support conversations for semantic search or retrieval, with the chunking, PII and deletion decisions made before anything is embedded. Trigger for "make our support conversations searchable", "build a vector index over tickets", "semantic search across trans
Use to design a pipeline that vectorises support conversations for semantic search or retrieval, with the chunking, PII and deletion decisions made before anything is embedded. Trigger for "make our support conversations searchable", "build a vector index over tickets", "semantic search across transcripts", RAG over support data, chunking transcripts, or an embedding index that returns unhelpful m
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