D I Z I T A L O G I C

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Dizitalogic is an AI first software company. We build agents, retrieval systems and the full stack products they run inside, for clients across six markets. Twenty plus engineers, working in your stack and your timezone.

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RAG and Knowledge Assistants

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RAG and Knowledge Assistants

Your organisation already knows the answer. It is spread across documents, tickets, wikis and databases, and finding it takes someone twenty minutes. A retrieval assistant closes that gap.

The difference between a demo and a system people trust is citation. Every answer points at the document it came from, so a person can check it in one click. Assistants that cannot show their source do not get used twice.

What we build

Retrieval that cites its sources, so the answers get trusted.

  • Ingestion from documents, tickets, wikis and databases
  • Chunking and embedding tuned to your content, not a default
  • Every answer cites the source it came from
  • Permissions respected, so people only retrieve what they may read

Who it suits: support teams answering the same questions repeatedly, and any team where institutional knowledge sits in one person's head. Tools we use: Pinecone, Weaviate, pgvector, LangChain, OpenAI, Anthropic Claude and AWS Bedrock.

Common questions

The questions we get asked most before a project starts. If yours is not here, ask it directly and an engineer will answer.

Retrieval grounds the answer in your documents and every response cites its source, which is what makes fabrication visible rather than invisible. We also evaluate against a question set you supply before release.
Yes. Retrieval is filtered by the user's own permissions, so nobody can pull a document through the assistant that they could not open directly. This is designed in from the start, not added later.
PDFs, Office documents, wikis, ticket systems and databases. Scanned documents need an OCR step, which we build in when the source material needs it.
Ingestion runs on a schedule or on a webhook from the source system, so new documents are searchable without anyone remembering to re-upload anything.