FAQs: GenAI Engineering Services in Khandagiri
Anyone can wire up an API call. Shipping a GenAI feature that's reliable, cost-aware and safe under real user load for a Khandagiri business is a different job — that's what I do.
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Everything you need to know
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Ask a question01Which LLM providers do you work with for Khandagiri clients?
OpenAI, Anthropic (Claude), and open-source models via providers like Together or self-hosted where it makes sense.
02Can you build RAG systems for Khandagiri businesses?
Yes — retrieval-augmented generation with vector databases is a core part of the work.
03How do you handle hallucination risk?
Grounded retrieval, structured outputs, automated evals, and human-review checkpoints for anything customer-facing.
04Do you build the whole product or just the AI layer?
Either — I can own the full feature end-to-end, or plug into your existing Khandagiri engineering team.
05What does a GenAI engineering engagement cost in Khandagiri?
Cost depends on whether you need a single feature (prompt design plus RAG, for example) or a full evaluation and monitoring layer around an existing feature. Share what your Khandagiri team is trying to ship for a specific quote.
06How is this different from hiring a general software agency for AI work in Khandagiri?
A general agency in Khandagiri can usually wire up an API call but rarely builds the evaluation harness, guardrails and cost-aware routing needed to keep quality from silently regressing after launch — that production-hardening layer is the core of this work.
07How long until a GenAI feature is production-ready for our Khandagiri product?
A scoped feature with RAG and basic evals typically takes 3-6 weeks from architecture to launch, depending on how much of your Khandagiri business's data needs to be ingested and indexed first.
08Is this a good fit if we just want to try an AI chatbot experiment in Khandagiri?
For a quick, low-stakes internal experiment, a lighter no-code tool is often the faster and cheaper starting point. This is built for Khandagiri teams shipping an AI feature to real customers, where reliability and cost control actually matter.
09What happens in the first week for a Khandagiri engagement?
The first week defines the exact use case, likely failure modes, and success metrics for your Khandagiri product before a single prompt gets written — so the evaluation criteria exist before the build does.