Knowledge assistants that answer from your documents and cite their sources
Retrieval-augmented assistants that search your documents, tickets and wikis, answer with sources, and respect who is allowed to see what.
Does this sound like your team?
“Staff spend hours searching docs, tickets and drives”
“Generic chatbots make up answers”
“Sensitive documents must stay permission-controlled”
What you get with RAG & Knowledge Assistants
- Document ingestion and chunking pipeline
- Vector search with permissions
- Answers with citations
- Feedback loop for wrong answers
- Evaluation set of real questions
- Slack, Teams, web or mobile interface
Is Your Knowledge Base AI-Ready?
Document audit worksheet for formats, permissions, freshness and citation quality.
Phases, timelines and what you receive
Discover
Use-case scope, KPI baseline, data access plan
Pilot
Working pilot on real data with evaluation results
Production
Hardened, integrated, monitored system
Improve
KPI and cost reports, new use cases shipped
What we measure before Go / Adjust / Stop
Every phase ends with a decision based on numbers agreed at the start.
Quality
accuracy against a labelled test set agreed up front
Speed
response time your users will accept
Cost per run
model and infrastructure cost per task
Edge cases
what happens with bad input, silence or unknown requests
Get a plan for RAG & Knowledge Assistants
A few fields, no sales script. We reply within 1 business day with next steps.
Where we've done this before
AI booking + voice replies
Scheduling and an FAQ assistant for clinics, grounded in the business's own documents
Embeddable AI chatbots
Chatbot-as-a-service: businesses build, customise and embed AI chatbots trained on their own FAQs
Senior people, named roles
Lead AI Engineer
Owns architecture, model choice and evaluation.
Full-stack Engineer
Builds integrations, UI and data pipelines.
Product Designer (on demand)
For user-facing assistants and dashboards.
What we build with
Industries we deliver this for
Start small, with a clear decision point
Most AI work starts with a workshop or a 4-6 week pilot.
Who this is not for, and what we won't do
- We don't launch assistants without an evaluation set of real questions
- We don't index documents users shouldn't see
What clients say
“Working with the Bit & Bytes team on our CRM data automation project was an excellent experience. The team understood our requirements clearly, transformed complex email data into meaningful insights, and delivered a reliable backend solution that significantly improved our workflow.”
“Bit&Bytes Team quickly understood our goals on SEO assistant project and implemented complex machine learning features with precision. there communication were clear, delivery was timely, and the overall collaboration was smooth and efficient. We're very satisfied with the results and would definitely work with them again.”
“We collaborated with Bit&Bytes team on the development of YourList, our real estate and investment networking platform. From the very beginning, they demonstrated a deep understanding of both the technical stack and the business vision behind the product. They helped us shape the MVP, ensuring smooth integration between backend and frontend. Throughout the process, they were proactive, detail-oriented, and always committed to delivering on time. Working with them seamless and highly productive, they truly went above and beyond to make the project a success.”
Frequently asked questions
Straight answers on cost, timelines, ownership and data.
Retrieval-augmented generation: the assistant searches your documents first, then answers using what it found, with links to the source.
Yes. Search respects the same permissions as the source system.
We measure accuracy on a set of real questions before launch and track it after.
Yes, including Decode, a knowledge assistant with retrieval over the client's content and a mobile app on AWS Fargate. Ask us for a walkthrough.
RAG assistants answer questions in one domain with citations. Enterprise AI Search connects many company tools so people can find the right document across the organisation.
Ready to talk about RAG & Knowledge Assistants?
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one