Two documents that disagree
Nobody audited the sources.
BoldBellowsVoiceflow knowledge base and RAG for teams whose answers live in documents
Voiceflow knowledge base and RAG automation that prepares your sources, tunes retrieval, keeps documents fresh and shows the passage behind every answer
Documents up to 10 MB, tables, sitemaps and public pages can all feed the knowledge base, and each table row becomes its own chunk, so how a source is built decides how well it is found. BoldBellows records the source, the document version and the question before a passage is retrieved, retrieves from approved sources only and shows which passage it used, then audits your content for duplicates and contradictions, rewrites PDFs and pages so that each answer sits in a clear passage, turns price lists and FAQs into tables where rows suit retrieval, imports a Shopify catalog or Zendesk articles where you use them, tunes the retrieval settings and the trigger, and schedules refreshes so that answers follow the documents. The agent cites the passage and says plainly when nothing relevant exists.
View Pricing
One-off setup from $1,250
No monthly subscription
- Build a Voiceflow knowledge base
- Sources prepared for retrieval
- Passage shown with each answer
- Sources audited no contradictions
- Built for retrieval clear passages, table rows
- Kept fresh scheduled refresh
- Source shown and honest gaps
- Fixed scope What is built, tested and handed over is agreed before work begins
- Simple commercial terms $1,250 up front for the entry package, with no renewal to remember
Chapter 01 the PDF-dump problem
A folder of PDFs is not a knowledge base
Teams upload their documents once and expect the agent to know them. But two documents disagree about the returns window, a price list pasted as a PDF loses its structure, and a long policy hides the answer in the middle of a paragraph. The agent retrieves the wrong passage, or a stale one, and answers with confidence. Months later the product has changed and the knowledge base has not. Nobody can tell which document an answer came from, so mistakes cannot be traced to their source.
The agent stopped quoting last year's policy.
A price list that lost its shape
It was uploaded as a PDF.
An answer buried in a paragraph
The text was not prepared.
Before
After
Before
- Anything the trigger matches is sent on
- Documents are uploaded once and left
- Answers cannot be traced to a source
After
- A repeat finds its proposal through a lookup key from the source, the document version, the question and the model run
- Sources are audited, structured and refreshed
- Each answer cites its passage or admits a gap
Chapter 02 How it works
How your documents become answers that cite their source
In the Voiceflow Knowledge-Base and RAG service, nothing is written until the change is judged and the proposal has been looked for.
Admit only what counts
Each Voiceflow event is verified and logged; anything outside the agreed scope is set aside with a reason.
Audit, prepare, import
Content is audited, prepared for retrieval, and imported in the right form.
Tune, refresh, cite
Retrieval is tuned, sources are refreshed, and answers cite their passage.
The details of Voiceflow that the AI route depends on
- The shape of a source matters: Documents up to 10 MB, tables, sitemaps and public pages can all feed the knowledge base, and each table row becomes its own chunk, so how a source is built decides how well it is found.
- Rows as chunks: A table import turns each row into its own chunk with its column headers as field names, which suits price lists, product specs and FAQs.
- Retry rules: Retries are preceded by a check of the AI workflow using a lookup key from the source, the document version, the question and the model run, so repeating a request cannot repeat its effect.
Chapter 03 What ships in the build
Inside the knowledge base: the parts that prepare, retrieve and cite
Launch is the front door. Route is the workshop. Govern is the inspection that keeps the route honest.
Event qualifier
Reads the Voiceflow record and confirms it satisfies the trigger before the AI workflow is touched.
Stable identity ledger
Records which Voiceflow data the model saw, what it proposed and who approved it, in a row that cannot be edited quietly.
Mapping contract
Holds the agreed Voiceflow-to-AI workflow field map as a versioned contract, not a habit.
Source preparer
Restructures documents into clear, retrievable passages.
Document-and-version matcher
Separates new, changed and already handled records through a lookup key from the source, the document version, the question and the model run.
Source and trigger matrix
Decides which sources answer which topics and how retrieval is triggered.
Source register
Runs a regular comparison between both sides and keeps the mismatches in view, on the Voiceflow Knowledge-Base and RAG service.
Freshness monitor
Flags sources that have changed or gone stale.
Escalation list
Shows which exceptions are getting old and who has to act on them.
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Chapter 04 Who this fits
Made for online shops that then build a Voiceflow knowledge base that retrieves the right passage: prepare your documents, tables, sitemaps and product data, keep them fresh, tune retrieval and show the source behind every answer
Customers want answers that match your current documents, and teams want to trace every answer back to its source.
Documentation owner
"Keep answers true."
Sources are refreshed.
Support lead
"Stop wrong answers."
Conflicts are resolved first.
Product manager
"Prices must be right."
Tables hold the price list.
Compliance lead
"Show the source."
Each answer cites a passage.
Developer
"Update safely."
Refreshes are scheduled.
Customer
"Give me the right answer."
It matches current documents.
Chapter 05 The options
How Voiceflow gets into the AI workflow: a folder of PDFs uploaded once and never touched again, a connector, or a maintained, source-citing knowledge base
Each can store files. Only one prepares sources for retrieval, keeps them fresh and cites the passage used.
| Question | A folder of PDFs | A generic upload | Our maintained knowledge base |
|---|---|---|---|
| What starts the work | A team member checks Voiceflow | Any event the zap listens to | A Voiceflow event that matches your trigger definition |
| How identity is decided | Searched by name or address | Whatever field is mapped first | Source, document version, question and model run |
| What reaches the AI workflow | The parts someone thought of | Fields forwarded unchecked | A cited passage and answer, or an honest no-answer |
| After an uncertain result | It waits until somebody notices | Stops with an error email | Reads the AI workflow by a lookup key from the source, the document version, the question and the model run before any rewrite |
An old change turns up late
A delayed Voiceflow event is compared with what the AI workflow already holds and is set aside if it would undo something newer.
A return policy is updated but the old PDF is still online
The conflict is flagged by the audit, the old source is retired, the refresh brings in the new policy, and the agent cites the current passage. A lookup key from the source, the document version, the question and the model run turns the question into a lookup, and the answer is one of four: nothing, right, wrong or unclear. Everything else is an update, a no-op or a case for a person.
Before fields or branches are discussed, a lookup key from the source, the document version, the question and the model run is fixed, because every later decision reads from it.
Interlude Cost is shaped by documents, passages and answers
Cost your knowledge base, one source at a time
Decide what may start an AI decision, how it is matched and how it recovers, and the price moves with you from $1,250.
View Pricing
One setup fee · Range shown first
Pricing
Build your Voiceflow AI Knowledge-Base and RAG price
Pick a package, answer three short questions about how Voiceflow data should reach AI Knowledge-Base and RAG, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps from a PDF folder to a maintained knowledge base
Six stages, one owner on your side, and a written output at the end of each.
-
About 30 minutes
Audit the content
We review your documents for duplicates, contradictions and gaps and decide the single source of truth.
-
Access review
Approve access
Access to Voiceflow is limited to what the route needs, and the model service, keys and data handling are agreed with you.
-
Most of the project
Agree the retrieval rules
Which sources answer which topics, how fresh they must be and what the agent says when it finds nothing are written out and approved first.
-
Before you review
Try to make it fail
With Voiceflow Knowledge-Base and RAG in place, every failure we can think of is tried against a test the AI workflow, and the ones that matter become written repair steps.
-
Handover day
Launch with notes
Handover closes the project: a live route, a checkpoint to prove it, and documentation to run it.
-
About 30 minutes
Thirty-day look-back
A review at the end of the first month covers volume, exceptions, retries and anything that drifted.
Chapter 07 Turnaround
Days to delivery, package by package
Dates start once the Voiceflow scope and the model service are settled.
Launch
6 to 10 business days
Route
10 to 16 business days
Govern
16 to 24 business days
Chapter 08 Getting started
Items to hand over at kickoff
Consent from your Voiceflow owner to read the agreed records
A Voiceflow workspace, your documents, pages or catalog in current form, and a named owner for each topic
Voiceflow credentials we can use for the agreed resources and events
The trigger you want: what must happen in Voiceflow before anything is sent
A decision on which Voiceflow values must never reach the AI workflow
Confirmation of which environment is production
Chapter 09 Trust
Your data stays in its place, except what the map allows
The route reads approved Voiceflow records, asks the model for a structured proposal and applies it only after the approval step you choose.
Your tools stay as they are
We work with the supported connection points of Voiceflow and the AI workflow and leave the products exactly as you run them today.
Scoped, revocable access
Connections are restricted to the objects on the approved list.
Less data, less exposure
Each Voiceflow field sent to the AI workflow has a stated purpose. Sensitive values are excluded or masked before anything is written.
Look, compare, then act
With Voiceflow Knowledge-Base and RAG in place, an unclear write is settled by finding the proposal and comparing it with the intended values, not by sending again.
Minimal logging
Only technical identifiers reach the run history.
Full handover
The finished route and its explanation are delivered together.
"Retrieval is only as good as the page it retrieves, so we start by making the page worth finding."
Steven GrratFounder, BoldBellows
Chapter 10 In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
Chapter 11 Questions
Voiceflow knowledge bases: what documentation owners ask
The essentials in question-and-answer form, with room for your own in the quote request.
Can a Voiceflow AI recipe replace this build?
A simple connector can give you answers that come from your own current documents, with the source shown. It will not prepare documents so they can be found, keep sources fresh or say plainly when nothing relevant exists. These are the parts the build adds.
Which file types can be imported?
PDF, text and Word files up to 10 MB, tables up to 10 MB, sitemaps and public pages.
Are images in documents read?
Only text is imported.
Can it import a Shopify catalog?
Yes, products, inventory and SKU details.
How are sources kept fresh?
With scheduled refreshes through the API.
Does the agent show its source?
Yes, it cites the passage used.
What if nothing relevant exists?
It says so and offers a person.
Do you provide a Voiceflow data-minimisation map?
Included in the fixed price: a written map of the Voiceflow fields the model reads and the fields an approved proposal may write.
Can the route use our approval process in the Voiceflow Knowledge-Base and RAG service?
Yes. The route can follow different rules for different Voiceflow projects or teams, from $1,250.
How do you handle a model or API change in the Voiceflow Knowledge-Base and RAG service?
Dependencies are listed at handover. A breaking change pauses just the part it touches and alerts your owner, and post-review fixes are quoted separately. If you searched for custom voiceflow knowledge base and rag automation, this is the service that delivers it.
Give your customers answers from current sources
Launch opens at $1,250.
- From $1,250, paid once
- Sources audited
- Source shown
- No monthly fee from us