Frequently Asked Questions
Find answers to common questions about Intellara, troveGEN, RAG systems and our AI product development services.
Questions about Intellara and troveGEN
What does Intellara Technologies build?
Intellara builds AI-first products and solutions: troveGEN (its RAG pipeline and search API), custom RAG and semantic search systems for legal, finance, healthcare and other domains, mini LLM development, and enterprise AI agents.
What is troveGEN and how can it help my business?
troveGEN turns documents into accurate, private AI search. It gives AI apps and agents the right context to generate from, and helps engineering teams keep fast-growing project documents searchable, with permissions, citations and your choice of managed or self-hosted vector storage.
What is RAG and why does it matter?
Retrieval-augmented generation (RAG) grounds a language model's answers in passages retrieved from your own documents. It reduces hallucinations, keeps knowledge current without retraining, supports citations and lets you control who sees what.
How do you approach RAG implementation?
We handle the full stack: data ingestion, chunking strategy, hybrid keyword and vector retrieval, reranking, response guardrails and continuous evaluation. The focus is grounded responses with consistent quality in production.
Can you build private or domain-specific mini LLMs?
Yes. We design and fine-tune compact language models for domain-specific tasks, then optimise inference and deployment for your security, latency and cost constraints.
What kinds of AI agents do you deploy?
We deploy agents for support operations, internal knowledge assistance, workflow routing and repetitive process automation. Every agent setup includes human-in-the-loop controls and auditability.
How long does a typical AI rollout take?
Pilot phases usually take 4-8 weeks, depending on data readiness and integration complexity. Broader enterprise rollouts are phased with clear milestones for validation and adoption.
How do you ensure quality and safety?
We use evaluation benchmarks, response quality scoring, guardrail policies, observability dashboards and escalation paths, so systems remain reliable, explainable and policy-aligned.
Do you work with startups or only enterprises?
Both. For startups we focus on fast validation and scalable architecture. For enterprises we focus on integration depth, governance and controlled multi-team deployment.
Do you provide post-launch support?
Yes. We provide continuous monitoring, optimisation, model and retrieval improvements, and roadmap support so your AI systems stay accurate and useful over time.
How can I get started with Intellara?
Book a consultation through our contact page. We run a discovery session, assess your use cases and data readiness, and then share a practical rollout plan with milestones and expected outcomes. You can also start with troveGEN's free 500-page trial at trovegen.com.