What is a RAG chatbot?

A RAG chatbot uses retrieval-augmented generation: it first searches your own documents for the most relevant passages and then uses a language model to write an answer from them, usually with references. This keeps answers accurate and tied to your content.

What is an AI knowledge base?

An AI knowledge base is a searchable collection of your company's documents, web pages and policies that an AI assistant can query in natural language, returning clear answers instead of a list of files.

Is my company data safe in a RAG chatbot?

We design for privacy: access controls, private storage and clear rules about which content each user may see. We can also use providers and settings that do not train on your data. Details are agreed during discovery.

How do you keep answers up to date?

We re-index new and changed documents on a schedule or when you publish, so the assistant reflects your latest content without retraining a model.

How much does AI knowledge base and RAG chatbots cost?

The price depends on the volume and format of documents, the channels, access rules and how often the content changes. After a short discovery call we send a clear, itemised quote, so there are no surprises.

How long does AI knowledge base and RAG chatbots take?

A first RAG chatbot on a defined document set takes 3 to 6 weeks, and an enterprise knowledge base 8 to 14 weeks. We confirm a realistic schedule after discovery and share progress in stages.

Do you support what you build after launch?

Yes. We document everything and train your team, and we offer optional support and improvement plans so you only pay for what you need.

RAG Chatbot & AI Knowledge Base Services

AI Agents & Automation

An AI knowledge base with a RAG chatbot answers questions from your own documents, policies, manuals and web pages. RAG (retrieval-augmented generation) finds the most relevant content first and then writes an answer with sources. uSpark Solutions builds secure RAG chatbots with vector search, OpenAI and Python for websites, WhatsApp and internal teams.

Book a Consultation Explore Our Solutions

Scroll

Common AI knowledge base and RAG chatbots challenges we solve

Knowledge scattered everywhere: Policies, manuals and answers live in PDFs, drives and individual heads.
Generic AI that guesses: Public AI tools do not know your products or rules and make things up.
Answers without proof: Nobody can verify where an answer came from.
Content that changes: Policies and prices change, and answers go stale.

Benefits of AI knowledge base and RAG chatbots with uSpark

Faster answers: Staff and customers find information in seconds.
Trustworthy replies: Answers are based on your approved content.
Verifiable sources: Every answer shows where it came from.
Consistent knowledge: Everyone gets the same up-to-date answer.
Scales with content: Add documents without retraining a model.

What's included in our AI knowledge base and RAG chatbots service

Knowledge audit and source selection: Decide what the assistant may know and who can see it.
Ingestion and search index: Documents processed into a fast semantic index.
Answers with sources: Clear replies with references to the original.
Chat on your channels: The assistant where your users already are.
Testing and improvement: Measure answer quality and fix gaps.

How our AI knowledge base and RAG chatbots process works

Discovery and requirements: We review documents, users, channels and security needs.
Strategy and solution planning: Source selection, access model and answer rules.
Design and development: Ingestion, retrieval, prompts and chat interface built.
Integration and testing: Question testing, accuracy checks and tuning.
Deployment and ongoing support: Launch, updates and monitoring.

AI knowledge base and RAG chatbots: questions we often hear

What is a RAG chatbot?: A RAG chatbot uses retrieval-augmented generation: it first searches your own documents for the most relevant passages and then uses a language model to write an answer from them, usually with references. This keeps answers accurate and tied to your content.
What is an AI knowledge base?: An AI knowledge base is a searchable collection of your company's documents, web pages and policies that an AI assistant can query in natural language, returning clear answers instead of a list of files.
Is my company data safe in a RAG chatbot?: We design for privacy: access controls, private storage and clear rules about which content each user may see. We can also use providers and settings that do not train on your data. Details are agreed during discovery.
How do you keep answers up to date?: We re-index new and changed documents on a schedule or when you publish, so the assistant reflects your latest content without retraining a model.
How much does AI knowledge base and RAG chatbots cost?: The price depends on the volume and format of documents, the channels, access rules and how often the content changes. After a short discovery call we send a clear, itemised quote, so there are no surprises.
How long does AI knowledge base and RAG chatbots take?: A first RAG chatbot on a defined document set takes 3 to 6 weeks, and an enterprise knowledge base 8 to 14 weeks. We confirm a realistic schedule after discovery and share progress in stages.
Do you support what you build after launch?: Yes. We document everything and train your team, and we offer optional support and improvement plans so you only pay for what you need.

We value your privacy

Strictly necessary

Preferences

Analytics

uSpark ChatBot