Nu
NuAI Bot Enterprise AI & Digital Growth
Enterprise AI Engineering Division

Premier AI Agent Development Company & Enterprise LLM Fine-Tuning

NuAI Bot engineers production-grade autonomous AI agent frameworks, domain-specific fine-tuned Large Language Models, and enterprise Retrieval-Augmented Generation (RAG) data pipelines for global organizations. Experience 50%–70% execution automation paired with 30%–50% senior principal engineering oversight.

01

Autonomous AI Agent Architectures

Multi-agent orchestration systems (LangChain, AutoGen, CrewAI, LlamaIndex) that automate complex software development workflows, multi-file code refactoring, infrastructure provisioning, and automated security patch verification.

02

Enterprise LLM Fine-Tuning

Custom domain fine-tuning of open-weight models (Llama 3.1 70B/405B, Mistral Large, Qwen 2.5) using QLoRA, DeepSpeed, and FlashAttention-2 on proprietary corporate datasets while preserving strict data privacy and HIPAA/SOC2 compliance.

03

High-Throughput Vector Search & RAG

Enterprise Retrieval-Augmented Generation (RAG) powered by Pinecone, Milvus, and Qdrant with hybrid dense/sparse retrieval (BM25 + BGE-Large embeddings) to deliver sub-50ms semantic document queries across petabytes of corporate data.

04

AI Safety, Alignment & Guardrails

Deterministic input/output filtering (NeMo Guardrails, Guardrails AI), hallucination scoring, PII redaction, role-based access control (RBAC), and automated auditing logs for production AI deployments.

⚙️ Mechanistic RAG Architecture Workflow

Phase 1: Ingestion & Chunking

Unstructured PDFs, SQL databases, and internal wikis are split using semantic recursive character chunking (512 tokens with 50-token overlap).

Phase 2: Hybrid Indexing

Dense vectors generated via OpenAI text-embedding-3-large combined with sparse BM25 keyword indices inside Qdrant clusters.

Phase 3: Reranking & Synthesis

Top-20 retrieved contexts are re-ranked using Cohere Rerank v3 before being passed to Llama 3.1 70B for zero-hallucination synthesis.

Vector Database Benchmark Comparison

Vector Database P99 Query Latency Max Vector Scale Deployment Option Best Enterprise Use Case
Pinecone Serverless 24 ms 1 Billion+ Managed Cloud (AWS/GCP/Azure) High-concurrency global SaaS RAG systems.
Qdrant Enterprise 18 ms 500 Million+ Self-Hosted Kubernetes / Cloud Hybrid BM25 search & strict data residency (BFSI/Health).
Milvus Distributed 31 ms 10 Billion+ On-Premises / Private Cloud Massive multi-tenant enterprise document search.

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