LLM & GenAI Engineering

RAG, agents and LLM apps that work in production

We architect and build LLM-powered products — retrieval, agents, fine-tuning, evals and guardrails. Typical timeline: 6–12 weeks. Delivered by senior engineers from Bhubaneswar, Odisha to clients worldwide.

What we cover

• RAG Pipelines
• Multi-Agent Systems
• Fine-Tuning & Distillation
• Evals & Guardrails
• Prompt Engineering

What you get

• Production RAG stack
• Agentic workflows
• Eval harness & regression suite
• Guardrails & PII controls

What we build with

• LangGraph
• LlamaIndex
• pgvector
• Pinecone
• Ragas
• vLLM

How an engagement looks

1. Ideate: Problem framing, user research and AI opportunity mapping.
2. Validate: Technical feasibility, data audit, POC and risk de-risking.
3. Architect: System design, model choice, infra blueprint and evals plan.
4. Build: Senior pod ships in weekly increments with demos and tests.
5. Deploy: Cloud deployment, CI/CD, guardrails and observability.
6. Scale: Cost, latency and quality optimization as usage grows.

LLM & GenAI Engineering — FAQ

Do you build production RAG and agentic systems?

Yes. We build production RAG pipelines (hybrid retrieval, reranking, evals), multi-agent systems on LangGraph and LlamaIndex, fine-tuning and distillation, plus evals harnesses and guardrails — usually shipping in 6–12 weeks.

How do you stop LLMs from hallucinating in production?

We combine grounded retrieval, output guardrails and PII controls with a three-layer eval stack — golden-set regression, LLM-as-judge sampling and production trace replay — so quality regressions are caught before users see them.

Which LLM and vector stack do you use?

We are stack-agnostic and pick per use case: OpenAI, Anthropic Claude, AWS Bedrock, Azure OpenAI or Vertex AI for models; LangGraph, LlamaIndex and Ragas for orchestration and evals; pgvector, Pinecone, Qdrant or Weaviate for retrieval.

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Contact ThoughtCell Global: email [email protected] · LinkedIn linkedin.com/company/thoughtcell-global. Headquartered in Bhubaneswar, Odisha, India · serving clients worldwide.