BRD Agent — Enterprise-Grade, Fully Local AI for Secure Requirements Engineering

Enterprise-Grade AI for Automated Requirements Engineering

Enterprise-grade AI system that turns scattered emails, chats, and meetings into clear, verified Business Requirements Documents in minutes.

Key Capabilities

• Fully local processing with zero cloud dependency and zero data leakage
• Graph-RAG + 32B LLM for accurate and reliable generation
• Evidence-linked traceability with automatic conflict detection
• Real-time streaming with production-ready backend

" Built for startups and enterprises that need faster delivery, better alignment, and complete data security. "

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The Real Problem

Teams waste days turning scattered emails, chats, and meetings into documents.
Important decisions get lost, contradictions are missed, and projects fail due to misalignment.

BRD Agent fixes this at the system level — not just with another chatbot.

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How BRD Agent Works Differently

BRD Agent is a fully local, enterprise-grade Graph-RAG inference system that converts raw business communication into verified, traceable Business Requirements Documents.

Processing Pipeline

Raw Data → Semantic Chunking → Knowledge Graph → Hybrid Retrieval → Reranking → Structured Generation → Auditable Output

Built and optimized to run on a single RTX 4090 with strict 24GB VRAM limits.

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Technical Differentiation & Research-Backed Architecture

BRD Agent is a fully local, research-driven Graph-RAG system engineered for enterprise-grade accuracy and reliability.

Core Technologies

• Qwen 2.5 (32B) via Ollama for local LLM inference

• LightRAG knowledge graph using GraphML and nano-vectordb

• BGE-M3 and ColBERT embeddings for semantic retrieval

• FAISS IVFPQ and BM25 hybrid search for context selection

• Cross-encoder reranking for relevance optimization

• Parallel generation with WebSocket streaming

• DeepMind Prompt Repetition (arXiv:2512.14982) with instruction sandwiching

• RAPTOR hierarchical abstraction for large document handling

• HyPE and HyDE query expansion

• Graph-RAG, A-RAG, and CRAG frameworks

• Graceful fallback architecture under 24GB VRAM constraints

No external APIs. No cloud inference. Fully local, privacy-first AI infrastructure.

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Market, Business Strategy & Real-World Integration

BRD Agent is designed as a scalable B2B documentation platform for real organizational workflows.

Target Users
Startups, enterprises, consulting firms, and product teams

Revenue Model
SaaS subscriptions, enterprise licensing, and API access

Adoption Strategy
Free trials, pilot deployments, and partner onboarding

Integration Readiness
Email systems, document management tools, chat platforms, internal dashboards

Deployment Models
On-premise, private cloud, and secure local servers

Use Cases
Product planning, compliance documentation, client reporting, audit preparation

Focused on high-impact enterprise automation with long-term scalability.

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References & Technical Resources

Research References

• DeepMind Prompt Repetition: https://arxiv.org/abs/2512.14982

• RAPTOR Hierarchical Retrieval: https://arxiv.org/html/2401.18059v1

• CRAG Framework: https://arxiv.org/abs/2501.13958

Embeddings & Retrieval

• FAISS Indexing: https://github.com/facebookresearch/faiss/wiki/Faiss-indexes

• BGE-M3 Embeddings: https://huggingface.co/BAAI/bge-m3

Language Model

• Qwen 2.5 (32B): https://huggingface.co/Qwen/Qwen2.5-32B

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Closing Note

BRD Agent represents a production-ready implementation of modern retrieval-augmented generation, knowledge graphs, and large-scale local inference.

By combining research-backed AI methods, strong system engineering, and privacy-first design, this project transforms enterprise documentation from a manual bottleneck into a reliable, intelligent workflow.

-This is not a prototype, This is deployable AI infrastructure.