AI Knowledge Base Assistant (RAG)
AI that answers from your own documents, data, and systems
Generic AI does not know your business. It cannot answer questions about your products, policies, or internal documents. This service focuses on building AI knowledge assistants using Retrieval-Augmented Generation, which connects AI directly to your own content so it gives accurate, up-to-date answers based on your information rather than the open internet.
- Companies with large documentation or knowledge bases
- Legal, finance, and consulting firms handling detailed content
- SaaS companies with complex products and support needs
- Teams onboarding new staff who need fast, reliable answers
- Businesses wanting a customer-facing expert on their products
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Common use cases include an internal knowledge assistant that answers staff questions from company documents, a customer-facing product expert that explains features and policies, and a compliance assistant that answers from approved regulations and procedures. It can also support new employee onboarding, speed up customer support with instant document lookups, and help teams find the exact answer buried in years of files.
We process your documents into a searchable knowledge base using vector databases such as Pinecone or ChromaDB, paired with frameworks like LangChain or LlamaIndex. When a question is asked, the assistant retrieves the most relevant content and uses an LLM to write a clear answer with sources. We add access controls, accuracy testing, and a feedback loop so the system stays reliable and keeps improving.
Share the documents and data sources the assistant should learn from, such as help docs, policies, product guides, or databases. Let us know who will use it and what they need to find, along with any access rules or restricted content. Example questions and expected answers help us tune the assistant for your specific needs
