Enterprise-grade Retrieval-Augmented Generation
DAC connects your enterprise knowledge base to large language models — delivering accurate, context-aware AI responses grounded in your own proprietary data. Purpose-built for security, scalability, and auditability at every layer.
Every component of DAC is engineered for production workloads — reliability, security, and retrieval quality are non-negotiable.
Combines dense vector search with keyword BM25 retrieval for maximum accuracy. Context is surgically extracted and reranked before reaching the LLM.
Ingest PDF, Word, Excel, HTML, Markdown, SQL databases, SharePoint, and REST APIs. Documents are automatically chunked, embedded, and indexed.
Deploy with OpenAI GPT-4o, Anthropic Claude, Google Gemini, or any open-source model. Swap providers without re-indexing your knowledge base.
Row-level access control ensures users only retrieve documents they are authorised to see. Full audit trail for every query, response, and retrieval.
Deploy entirely within your own infrastructure. No data leaves your environment. Supports Kubernetes, Docker Compose, and bare-metal deployments.
Built-in dashboard tracks query latency, retrieval quality scores, LLM cost, and user engagement. Integrate with Datadog, Grafana, or OpenTelemetry.
Ingest
Documents & data sources
Chunk & Embed
Semantic vector indexing
Retrieve
Hybrid semantic + BM25
Rerank
Cross-encoder reranking
Generate
LLM with grounded context
Audit
Full traceability log
Give employees instant, accurate answers sourced from company policies, SOPs, HR documents, and product manuals — without hallucination.
Power support ticket deflection and live chat with AI that answers from your product documentation and support history — not generic internet knowledge.
Analyse contract clauses, flag risks, and surface relevant precedents across thousands of documents in seconds. Full citation trails included.
Allow engineers to query codebases, API references, runbooks, and architecture decision records using natural language.
Our team will assess your data environment, design the right architecture, and guide you through deployment — whether on-premise or in the cloud.