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This is the sanity check we needed. We don't have a benchmark yet necessitating complex graph architectures. We will stick to 'Proven Stuffs' first: A solid Hybrid Search (Vector +…

Thanks for the tips. We are strictly doing offline processing (docs are already converted to Markdown stored in DB) to avoid any live OCR latency. Also 100% agreed on filtering—we …

Agreed. Pure in-memory is too risky for us given the persistence requirements and monthly updates. We are definitely going with a 'proper' DB (likely Postgres+pgvector or Weaviate)…

This is extremely helpful. Our docs are indeed small (1-2 pages mostly), so distinct chunking might not even be needed—maybe one vector per doc or page. Since we are already on Pos…

I'm tasked with building a private AI assistant for a corpus of 10 million text documents (living in PostgreSQL). The goal is semantic search and chat, with a requirement for regul…