Reducing hallucinations in retrieval-augmented chatbots for customer support teams

When customer support teams adopt retrieval-augmented generation (RAG) to power chatbots, the promise is compelling: fast, contextually-aware answers grounded in a company's own documentation. In practice, however, one problem keeps surfacing — hallucinations. These are fluent, plausible-sounding responses that confidently state incorrect facts or invent citations. I've worked with product and security teams who’ve felt that a seemingly small hallucination can erode trust faster than any...

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Reducing hallucinations in retrieval-augmented chatbots for customer support teams
AI

Choosing a self-hosted vector database for on-device llm search: milvus, pgvector or chroma?

09/06/2026

When I started evaluating self-hosted vector databases for on-device LLM search, I expected a straightforward tradeoff: pick the fastest engine and...

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Choosing a self-hosted vector database for on-device llm search: milvus, pgvector or chroma?
Cybersecurity

Detecting malicious firmware implants on consumer routers using a raspberry pi and free tools

03/06/2026

I recently spent a week building a cheap, repeatable workflow to detect malicious firmware implants on consumer routers using nothing more than a...

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Detecting malicious firmware implants on consumer routers using a raspberry pi and free tools

Latest News from Roctoken Co

How to run a cost‑predictable on‑device llm using llama.cpp on a midrange laptop

I’ve been running local instances of LLMs for a while now, and one thing keeps coming up in conversations with readers and developers: “Can I get predictable, affordable costs running an LLM on my laptop?” The short answer is yes — with llama.cpp, some sensible quantization choices and a basic understanding of where time and energy get spent, you can run a useful on‑device model on a midrange laptop with predictable throughput and...

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Step‑by‑step playbook for replacing third‑party analytics SDKs with privacy friendly in‑house telemetry in a startup

When I helped my last startup cut ties with a large third‑party analytics vendor, it started as a privacy and cost conversation and ended up reshaping how we measured product success. Replacing an off‑the‑shelf SDK with an in‑house telemetry pipeline is more than engineering work: it’s a product, legal and operations effort. Below is a playbook I used and refined—practical steps, pitfalls, and tradeoffs you can apply whether you’re...

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How to configure obfuscation and monitoring to stop credential stuffing against wordpress and headless storefronts

I’ve spent a lot of time hardening WordPress sites and headless storefronts against credential stuffing campaigns, and the single clearest lesson is this: you need both obfuscation to reduce noisy attack surface and real-time monitoring to detect and stop adaptive attackers. Relying on one or the other will leave gaps. In this piece I’ll walk through practical, hands‑on controls I use—what helps, what’s theatre, and how to wire these...

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Which inexpensive android phones receive timely security updates and how to lock them down for privacy

I get asked often which cheap Android phones are actually worth buying if you care about security and privacy. The short answer: some inexpensive phones get timely security updates, but you have to pick carefully and then lock the device down. Below I walk through which makers and models are best for update reliability at budget prices, how to check update policies before you buy, and a practical, step‑by‑step lockdown checklist you can...

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Can the google pixel fold be a secure daily driver a practical privacy and threat-model checklist

I’ve been carrying a Pixel Fold as my daily driver for several months while testing security features, privacy tradeoffs and real‑world usability. Foldables are inherently different: a larger attack surface (more sensors, hinges and screens), combined with the tight hardware‑software integration Google offers, makes for an interesting security question: Can the Pixel Fold be a secure daily phone for regular users and privacy‑conscious...

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How to run a private gpt-style assistant on an intel nuc with minimal latency and cost

I run a private GPT-style assistant at home on an Intel NUC because I wanted low latency, full data control and predictable running costs. Over the past year I iterated on hardware, models and deployment patterns until I hit a sweet spot: sub-second response times for short prompts, multi-second but usable answers for longer generations, and monthly costs that are basically power + occasional SSD replacements. Below I walk through what worked...

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How to detect supply-chain tampering in third-party sdks before they reach production using free tooling

I remember the first time a third‑party SDK caused a late‑night incident: a benign analytics library I’d approved began exfiltrating data after an upstream compromise. Since then I’ve made detecting supply‑chain tampering a standard part of any pre‑production gate. The good news is you can do a lot with free, open tools—SBOM generators, signature verifiers, lightweight static checks and simple binary inspections—to catch...

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How to migrate a 50-person agency from google workspace and slack to self-hosted nextcloud and matrix with minimal downtime

Migrating a 50-person agency off Google Workspace and Slack onto self-hosted Nextcloud and Matrix is one of those projects that sounds daunting until you break it into small, testable steps. I've led migrations like this and the single best lever to keep downtime minimal is planning for parallel operation: run the new stack alongside the old, replicate data and workflows, then flip users over in small cohorts. Below I share a practical, hands-on...

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How to audit mobile apps for covert data exfiltration using only free tools and a cheap android phone

I’ve spent a lot of time testing apps on cheap Android phones to answer one simple question: is an app quietly siphoning data off your device? You don’t need expensive lab gear to do a credible audit. With a cheap Android handset, a laptop, and a handful of free tools, you can perform both static and dynamic checks that expose common covert exfiltration techniques — DNS tunnelling, data-in-query-strings, encrypted uploads to...

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How to safely integrate smart locks with alexa and google home while preventing local network attacks

When I started replacing my deadbolt with a smart lock, I was excited by the convenience: one tap to unlock for a delivery driver, voice control through Alexa while my hands were full, and temporary codes for guests. What I didn't immediately appreciate was how a poorly integrated smart lock can become a local network attack vector. Over time I've learned to treat smart locks like the sensitive endpoints they are; you don't leave the front door...

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