Can AI agents query a 100M-row database? Dev asks for iterative retrieval experience
please2026 · reddit · 2026-10-12
A developer on Reddit asks how well AI agents handle connecting to a very large database (100 million rows): the idea is an agent issues a query, iterates based on the first result set, then summarizes and presents findings — possibly split across multiple agents for different functions.
He's looking for anyone who has built an iterative retrieval agent to share implementation details and the main challenges of this multi-agent, multi-query approach.
More from coding & agent
- Ice Cubes dev uses Codex to clear open-source repo backlog of bumps and fixes — Dimillian · 2026-10-12
- SEO team uses Grok bot groups as web crawler, sometimes beating ScreamingFrog locally — gaganghotra_ · 2026-10-12
- EXL3-QLoRA lets you fine-tune 2-8bpw quantized models, beating BNB NF4 on loss — Unstable_Llama · 2026-10-12
- Linus Torvalds is using Claude Code on a hefty Linux kernel performance improvement — PointmanW · 2026-10-12
- Claude-driven Blender 3D modeling from images makes this dev bullish on inspection gear — jwt0625 · 2026-10-12
- Work2Skill Turns Human GUI Demos into Reusable Agent Skills, Beating No-Skill Baselines — nex-agi · 2026-10-12