RAG & Knowledge Systems
We build retrieval-augmented generation pipelines that turn your raw data into a queryable intelligence layer. Whether it is internal documentation, contracts, or product data — we embed, index, and retrieve it with sub-100ms latency. Your teams stop searching. They start asking.
Built for production.
Not for demos.
Intelligent Document Ingestion
We parse PDFs, Word docs, Notion exports, Confluence wikis, and raw databases. Every document is chunked, embedded, and indexed into vector stores like Pinecone or Qdrant for instant semantic retrieval.
Sub-100ms Retrieval
Our RAG pipelines retrieve the most relevant context from millions of documents in under 100 milliseconds. Hybrid search combining dense embeddings and sparse keyword matching ensures nothing gets missed.
Contextual Answer Generation
Retrieved context feeds directly into LLMs with custom prompt engineering. Every answer is grounded in your actual data — with source citations, confidence scores, and hallucination guards built in.
Projects built with
this capability.
Pyragogy Village
6-agent self-correcting system that debates and fact-checks to produce PhD-level enterprise research.
Nebras Enterprise Portal
Autonomous 6-agent document intelligence suite using RAG and OCR to completely automate enterprise procurement and compliance — turning weeks of manual bottlenecks into an instant pipeline.
VocalMind Concierge
High-end scheduling agent for consultancies that qualifies leads and books appointments directly into Google Calendar.
Ready to
get started?
Drop us a message about your project and we'll get back to you within one business day with a strategy outline.