hoverbot

4 ms·

1.
by hoverbot 1y ago
We just built a production grade multilingual RAG system and wrote up the design and what we learned in “Multilingual RAG That Actually Works: A Practical Architecture.” Many multilingual RAG setups break in familiar ways: embedding spaces
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Close the loop: analytics that teach your chatbot to fix itself(hoverbot.ai)
8 points by hoverbot 1y ago|4 comments
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Four chatbot widget patterns for websites and apps: from bubble to super app(hoverbot.ai)
2 points by hoverbot 1y ago|1 comments
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by hoverbot 1y ago
We outlined four common patterns for embedding chatbots, from simple bubbles to multi-tab hubs, and looked at where each approach fits best. Would love to hear what patterns the HN community has seen work well (or fail) in real-world use.
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Make a smart router the center of your chatbot(hoverbot.ai)
2 points by hoverbot 1y ago|1 comments
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by hoverbot 1y ago
Author here. We run chatbots with a smart router: classify noise/PII first, call retrieval+LLM only when needed, and use deterministic flows for actions. This keeps latency and cost down and makes behavior explainable. What would you a
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Handling PII in customer-facing AI chatbots: mask before sending to LLM(hoverbot.ai)
2 points by hoverbot 1y ago|1 comments
8.
by hoverbot 1y ago
Author here (HoverBot team). How we keep PII out of LLMs in our chatbots: detect fast -> replace with typed placeholders -> call the model -> unmask on our server. We also cover region pinning and vendor privacy controls. Keen to h
9.
by hoverbot 1y ago
Great practical takes - agentic chatbots work only with real data and feedback loops. HoverBot is built this way: it automates RAG pipelines, includes confidence thresholds, and supports human-in-loop override. You can run vertical assistan
10.
by hoverbot 1y ago
Tough experience, but it doesn’t have to be. With HoverBot, if the bot is unsure, it knows when to back off and bring in a human right away. And with built-in conversation analytics, you can keep fine tuning your flows so things just keep g