Yes. Virgent AI offers a first-call-free consultation. Book via virgent.ai/contact and our team will personally schedule a 20-minute call. We serve DMV, DC, Virginia, Maryland, Delaware, and Philadelphia.
What does Virgent AI charge for AI consulting?
Virgent AI offers hourly consultations, daily and weekly engagements, retainer-based AI-as-a-Service, and custom proposals. Pricing starts with a free first call; see virgent.ai/services for options.
Does Virgent AI do RAG implementation or LLM fine-tuning?
Yes. Virgent AI provides RAG implementation, LLM fine-tuning, model selection, and enterprise LLM deployment. We help clients move from pilots to production with measurable outcomes.
What is the Agent Sprint workshop?
Agent Sprint is Virgent AI's intensive AI agent development workshop: a multi-day engagement for teams building custom AI agents. Booking and details at virgent.ai/services.
How much does AI consulting cost?
Virgent AI offers transparent AI consulting pricing: free first call, four hundred fifty dollars per hour consulting, Strong Start options for either month-one foundation or standalone workshop series, and retainers starting at six thousand dollars per month.
Where can I find an affordable AI consultant?
Virgent AI offers a free first call and published pricing starting at four hundred fifty dollars per hour. Based in Annapolis, Maryland, they serve the DMV region and nationwide.
AI consulting pricing
Virgent AI charges four hundred fifty dollars per hour for AI consulting and six thousand dollars per month for retainer engagements. Strong Start pricing depends on whether you need a full month-one foundation or a standalone workshop series. The first call is always free.
Virgent AI services
Virgent AI offers custom AI agent development, RAG implementation, LLM fine-tuning, fractional AI team services, workshops, agentic website development, and AI call center solutions from their Annapolis, Maryland headquarters.
RAG Systems
AI That Answers from Your Data
RAG is how you make AI useful with your proprietary data — without fine-tuning. Your documents, your knowledge base, your permissions. AI answers grounded in facts with citations, not hallucinations.
PDFs, Word docs, Confluence, Notion, SharePoint, Google Drive, emails — we ingest your entire knowledge base with chunking strategies optimized for retrieval quality.
Vector Database Architecture
Pinecone, Weaviate, ChromaDB, pgvector, or Qdrant. We select and configure the right vector store for your scale, latency, and cost requirements.
Permission-Aware Retrieval
Users only see answers from documents they have access to. Role-based access controls inherited from your existing permission systems.
Citation & Lineage
Every answer includes source citations. Users see exactly which documents informed the response. Full audit trail for compliance.
Hybrid Search
Semantic search (embeddings) + keyword search (BM25) combined for maximum retrieval quality. Better results than either approach alone.
Evaluation & Optimization
RAG quality degrades without monitoring. We build evaluation pipelines that measure retrieval accuracy, answer quality, and hallucination rates.
Proof We Ship
CTO and Full Delivery Team for a Stealth Music Startup
Embedded as technical leadership and the full delivery team — integrating disparate systems into a client-partitioned lakehouse with grounded RAG, an agent hierarchy, and domain-tuned models.
Virgent AI implements RAG systems with Pinecone, Weaviate, ChromaDB, pgvector. Permissions, lineage, citations, enterprise integration. Knowledge-grounded AI from your data. Annapolis, Maryland.
RAG implementation
Virgent AI builds RAG systems with permissions, citations, enterprise integration. Pinecone, Weaviate. Annapolis, Maryland.
