Guides pratiques pour créer des assistants IA précis, RAG, évaluation et opérations terrain.
Approfondissements sur le crawling, le retrieval, l'évaluation et le déploiement pour les équipes qui construisent des assistants IA fiables.
Résultats concrets d'équipes qui utilisent Threada Chat pour améliorer support et revenus.
Évaluations côte à côte pour vous aider à comparer Threada à d'autres plateformes d'assistants IA.
Sep 15, 2025
Deep comparison of AI chat assistants and traditional live chat for digital / marketing agencies: cost, scalability, lead quality, client value, and operational metrics.
Lire plusSep 15, 2025
Blueprint for planning, implementing, securing, evaluating and continuously improving a production-grade AI website assistant grounded only in your own content.
Lire plusSep 15, 2025
Engineering a high-signal focused crawler: discovery, prioritization, trap avoidance, freshness, observability.
Lire plusSep 15, 2025
How a B2B SaaS vendor tripled on-site engagement, doubled qualified lead rate, and cut support response time using a grounded AI assistant.
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Comprehensive blueprint for automating customer support with AI while safeguarding quality, compliance, and customer trust.
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Designing high-precision chunking for website RAG: fixed, semantic, hierarchical, adaptive strategies and evaluation.
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From prototype to production: deployment models, embedding patterns, performance, observability, iteration strategy.
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Rigorous, reproducible evaluation framework for retrieval‑grounded AI assistants: test sets, metrics, automation, governance.
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A practical, end‑to‑end playbook for reducing hallucinations in retrieval‑augmented (RAG) AI assistants: data quality, retrieval precision, prompting, validation, and continuous improvement.
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Engineering resilient hybrid retrieval: blending vector, lexical, metadata & temporal signals for website RAG.
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Operational KPI framework for AI assistants: retrieval, generation, resolution, business impact & diagnostic metrics.
Lire plusSep 15, 2025
Practical, production-focused blueprint for Retrieval‑Augmented Generation (RAG) tailored to dynamic website content-public and authenticated.
Lire plusSep 15, 2025
A practical framework for embedding security, privacy, and threat modeling into AI chat assistant platforms from day zero.
Lire plusSep 15, 2025
Security & compliance architecture patterns for multi‑tenant AI assistants: isolation, privacy, governance, resilience.
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Feature-by-feature analysis of Threada versus Intercom and Drift AI assistants: retrieval quality, enterprise controls, analytics depth, and TCO.
Lire plusSep 15, 2025
Tactical breakdown of how grounded AI assistants increase on‑page engagement, session depth, qualified lead rate, and content discoverability.
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Engineering a focused crawl and transforming raw HTML into reliable, structured, high‑signal knowledge assets for AI assistants.
Lire plusSep 10, 2025
A practical framework for judging AI chat vendors across retrieval quality, security, latency, governance, and roadmap resilience.
Lire plusSep 10, 2025
A practical overview of converting your existing website content into a high-accuracy AI chat assistant using retrieval-augmented generation.
Lire plusFeb 24, 2025
Learn how adaptive relevance thresholds keep AI answers grounded by tuning retrieval scores per tenant and corpus.
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Sync assistant events into your CRM so sales and success teams can act on high-intent chats.
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Annotate analytics with prompt updates, crawl runs, locale launches, and billing changes so teams know why metrics move.
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Capture every action: prompt edits, crawl jobs, impersonations, billing changes; keep AI assistants compliant and debuggable.
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Maintain trust during billing lapses with proactive alerts, grace windows, usage caps, and automated enforcement.
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Schedule crawls using priority queues so urgent URLs index faster without starving baseline coverage.
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Respect robots.txt, throttle requests, and avoid SSRF while keeping AI assistants fresh.
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Design a demo funnel that captures emails before rendering the assistant, alerts ops, and keeps demo tenants tidy.
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Define retention per artifact: chat logs, analytics, audit configs, backups; honor tenant overrides up to 730 days.
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Provide CSV and NDJSON exports for impressions, chats, fallback reasons, and feedback so teams can analyze data in their own BI tools.
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Automate feedback triage so negative answers trigger crawl, prompt, or threshold fixes without manual spreadsheets.
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Wire Google Chat notifications for demo events, email captures, negative feedback, and stale crawls so issues are handled in minutes.
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Keep headless rendering predictable with rate limits, resource budgets, and fallback detection.
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Review crawl diffs to see what changed, catch regressions, and prove freshness.
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Wire IndexNow into your crawling pipeline so assistants stay fresh without hammering customer sites.
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Plan for emergencies: disable embeds per tenant or globally, notify stakeholders, and restore service safely.
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Design an LLM gateway with retries, fallbacks, circuit breakers, and per-tenant overrides to keep AI assistants online.
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Use fallback reason logging (low score, no context, provider error, timeout, overflow) to debug AI answers and keep containment high.
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Support PDFs, DOCX, and HTML uploads for gated content while keeping ingestion safe and traceable.
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Manage LLM spend with caching, tiered models, rate limits, and per-tenant quotas.
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Blueprint for agencies launching branded AI assistants per client: tenant isolation, styling, quotas, analytics, and governance.
Lire plusFeb 24, 2025
Run this weekly checklist to keep AI assistants accurate: crawl status, fallback ratios, billing grace, SSO audit, and feedback triage.
Lire plusFeb 24, 2025
Step-by-step plan for launching multilingual AI assistants: copy parity, hreflang, auto-detect, localization tooling, and analytics.
Lire plusFeb 24, 2025
Treat prompts like code: version them, test in staging, launch with annotations, and roll back quickly if metrics slip.
Lire plusFeb 24, 2025
Track impressions, opens, chats, messages, containment, and feedback loops for every AI embed to coach quality and ROI.
Lire plusFeb 24, 2025
Prepare your AI admin and ops apps for enterprise SSO with metadata collection, Just-in-Time provisioning, SCIM, and kill switches.
Lire plusFeb 24, 2025
Use JSON-LD (FAQPage, HowTo, SoftwareApplication) to keep AI assistant pages eligible for rich results and prevent warnings.
Lire plusFeb 24, 2025
Give every new tenant a predictable onboarding: domain verification, crawl scope, prompt setup, branding, SSO, and analytics.
Lire plusFeb 24, 2025
Threada compared to Ada CX analytics: grounded website answers with citations versus intent dashboards and ticket insights.
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Threada compared to Acquire.io: grounded website answers with citations versus live chat and customer experience automation.
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Threada compared to Ada CX with Cohere: crawl-first RAG with citations versus intent-first support automation.
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Threada compared to Ada CX governance: grounded website accuracy and audit trails versus intent-focused approval workflows.
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When to use a chat assistant vs. a search box, and how Threada complements Algolia for website visitors.
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Threada compared to Amazon Q: grounded website answers with citations versus AWS-native chat for internal knowledge.
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Compare Threada to Ada Support AI for website assistants: grounding quality, freshness, analytics, and enterprise controls.
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Threada compared to Birdeye: grounded website answers with citations versus review-driven customer experience automation.
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Threada compared to Boost AI: grounded website answers with citations versus intent-first enterprise virtual agents.
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Threada compared to Bright Pattern: grounded website answers with citations versus contact center automation.
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Evaluate Threada against Botpress: build effort, grounding quality, security, and analytics for website assistants.
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Why a crawl-first RAG assistant beats FAQ uploads and prompt trainers for accuracy, freshness, and analytics.
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Threada versus Cognigy: grounded website answers with citations compared to enterprise conversational flows.
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Threada compared to Crisp: grounded answers with citations vs. live chat and shared inbox flows.
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Threada compared to Dashworks: grounded public website answers with citations versus internal knowledge copilots.
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Why a crawl-first RAG platform beats a custom OpenAI script for accuracy, security, and maintainability.
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Threada compared to Freshchat AI: grounded answers with citations versus live chat and messaging automation.
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Side-by-side look at Threada and Forethought for AI chat: retrieval transparency, freshness, security, and analytics.
Lire plusFeb 24, 2025
Compare Threada to Freshdesk Freddy AI bots: grounding quality, freshness, analytics, and security posture.
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Threada compared to Freshworks Freddy: grounded website answers with citations versus ticket-centric automation across Freshworks apps.
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Threada compared to Genesys Cloud CX AI: grounded website answers with citations versus contact center automation.
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Threada compared to Front chat: grounded answers with citations versus inbox-first collaboration and chat.
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Threada compared to Gladly AI: grounded website answers with citations versus customer service inbox and journeys.
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Threada compared to Google Cloud Agent Assist: grounded website answers with citations versus contact center agent coaching.
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Dialogflow is powerful for intent bots. Threada focuses on crawl-first RAG with citations, freshness, and enterprise controls.
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Compare Threada to Gorgias AI for ecommerce support: grounded answers with citations vs. ticket and order workflows.
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Threada compared to Haptik: grounded website answers with citations versus intent-led automation across channels.
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Threada compared to Help Scout Beacon AI: grounded answers with citations versus help desk beacons and docs search.
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Threada compared to Helpshift: grounded website answers with citations versus in-app/mobile messaging support.
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Threada compared to Heyday: grounded answers with citations versus ecommerce chat for product discovery and live agents.
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Compare Threada to HubSpot chatbots for website answers: grounding, analytics depth, and enterprise controls.
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Threada compared to IBM watsonx Assistant: crawl-first RAG with citations versus intent-first virtual assistants.
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Threada compared to Kore.ai: grounded website answers with citations versus enterprise virtual assistant flows.
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Threada compared to Kustomer AI: grounded website answers with citations versus CRM-native workflows.
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Threada compared to Landbot: grounded answers with citations versus flow-based conversational forms.
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Threada compared to Kustomer Sidekick: grounded website answers with citations versus CRM-native AI agent assist.
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Compare Threada to LiveChat AI: grounded answers with citations versus live chat and agent tools.
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Contrast Threada with LivePerson: grounded answers with citations vs. conversational commerce and agent workflows.
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Threada compared to ManyChat: grounded answers with citations versus template-driven automation and campaigns.
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Threada compared to LobeAI: grounded website answers with citations versus low-code conversational flows.
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Compare Threada to Netomi AI for customer support: grounded website answers with citations versus intent-led ticket automations.
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Threada compared to custom OpenAI GPTs: crawl-first grounded answers with citations versus configurable agent scripts.
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Threada compared to Powerfront: grounded website answers with citations versus live chat plus clienteling for retail.
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Threada compared to Qualtrics XM AI: grounded website answers with citations versus experience management insights and surveys.
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Threada compared to Rasa: crawl-first RAG with citations versus build-your-own NLU and dialog stack.
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How Threada compares to Salesforce Einstein Bots for website assistants: grounding, analytics, and rollout speed.
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Evaluate Threada against ServiceNow Virtual Agent: grounded website answers vs. ITSM workflows and knowledge bases.
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Threada compared to Sprinklr AI: grounded website answers with citations versus omnichannel customer experience flows.
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Threada compared to Tars: grounded answers with citations versus scripted conversational landing pages.
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Threada compared to Tidio AI chat: grounded answers with citations versus lead capture flows and live chat.
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Threada compared to Ultimate AI helpdesk: grounded website answers with citations versus intent-first ticket automation.
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Compare Threada to Ultimate.ai: crawl-first RAG with citations versus intent-first customer support automation.
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Threada compared to Verloop AI: grounded website answers with citations versus intent and flow-based automation.
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Threada compared to Yellow.ai: grounded website answers with citations versus enterprise intent and journey automation.
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Compare Threada to Zendesk AI bots: grounded answers, per-embed metrics, security posture, and rollout speed.
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How Threada compares to Zoho SalesIQ and Desk AI: grounded answers with citations vs. CRM and help desk chat.
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Threada compared to Zowie: grounded website answers with citations versus ecommerce automation across chat and messaging.
Lire plusFeb 24, 2025
Key questions security teams ask before approving AI chat: prompt injection, SSRF, data retention, embed CSP, and kill switches.
Lire plusFeb 24, 2025
Track containment, fallback mix, crawl freshness, billing, and feedback each week to prevent regressions.
Lire plusFeb 23, 2025
How to turn on single sign on for your website assistant, map roles, and avoid common SAML and OIDC pitfalls.
Lire plusFeb 23, 2025
Keep your AI assistant current with IndexNow pings, sitemap monitoring, and polite recrawls that respect quotas.
Lire plusFeb 23, 2025
Practical checklist to ship an AI chat widget that meets WCAG 2.2 AA without slowing down your launch.
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