Retrieval-Augmented Generation (RAG) pipelines
Generative AI & LLM Integrationthat earns its keep.
Bring the productivity edge of large language models into your product or your enterprise, without leaking data, hallucinating numbers, or exploding your inference bill. We do the unglamorous engineering that makes generative AI actually work in production.
01 · Query
show me last quarter's revenue by region
02 · Retrieve
8 chunks · top score 0.87 · cite required
03 · Reason
claude-4.5-sonnet · 612t · 0.84s
answer
NAM $48.2M (+12%) [1] · EMEA $31.4M (+7%) [2] · APAC $22.1M (+19%) [1]
What you get when you hire us for generative ai & llm integration.
Ideal for
Teams putting LLMs in front of customers, or behind their own people.
Domain-tuned assistants & copilots
Vector search, hybrid retrieval, reranking
Streaming UX, citations, and refusal logic
Privacy controls, PII redaction, compliance evidence
The reasons teams pick us for generative ai & llm integration.
RAG pipelines with citations, refusal logic, and PII redaction baked in from day one.
Domain-tuned assistants that respect your brand voice and policy constraints.
Streaming UX with progressive disclosure and source citations, not janky chat boxes.
Hybrid retrieval (BM25 + embeddings + reranking) tuned to your real questions.
Continuous evals against your real questions, not synthetic benchmarks.
Vendor-neutral. Senior in every layer of your stack.
A representative slice of the tools we use for generative ai & llm integration. We meet your platform where it lives, and we work with many more.
From the first call to a system that runs.
A typical engagement looks like this. Faster, slower, or parallel tracks are all on the table when the work demands it.
Discovery
What questions, what sources, what answers must include or exclude.
Ingestion + retrieval
Build the pipeline, baseline retrieval metrics, calibrate chunking.
Generation + UX
Voice, citation requirements, refusal logic, streaming UI.
Eval + harden
Edge cases, PII scrubbing, guardrails, observability, load test.
Five phases. Same discipline, every engagement.
Discover
Goals, constraints, and the metric we're moving, locked in week one.
Plan
Architecture, scope, and a sprint plan you and your stakeholders can read.
Build
Senior teams ship in tight sprints. Demos every Friday, no surprises.
Launch
Hardening, eval, rollback plan, comms — a real launch, not a release note.
Operate
We measure, iterate, and keep the system improving long after handoff.
Outcomes
What teams have seen with us.
Indicative ranges from recent generative ai & llm integration engagements. Your numbers will depend on starting point and scope. We agree the success metric in week one and report weekly against it.
- Real metric, not vanity. Reported weekly.
- Eval / QA gates every release.
- Auditable, regulator-ready when needed.
95%+
citation accuracy on retrieved facts
-60%
time to find an answer vs search
4 to 6 weeks
to a working assistant
99.5%
refusal accuracy on out-of-scope queries
Questions teams ask before they pick us.
Don't see your question? Email support@telematrixglobal.com or message us on WhatsApp.
Yes. Every answer can include source citations with deep links. We can require citations as a hard constraint.
AI · in production
Built to survive Monday morning.
Real systems, not demos. Eval harnesses, guardrails, latency budgets, and clear rollback paths.
Pairs well with
Ready to engineer the next chapter of your business?
Tell us where you are, where you want to go, and the deadlines you cannot miss. We'll respond within one business day with a clear next step.
Direct line
support@telematrixglobal.com
+91 79808 07674
Operations hours
Mon to Sat · 09:00 to 19:00 IST
Project teams cover follow-the-sun.
