Turn Company Documents into an Autonomous AI Assistant That Never Hallucinates.
Upload your PDF and Markdown manuals, SOPs, and handbooks. FoxxNuts indexes them with hybrid Cohere dense + BM25 sparse search, verifies every response through a self-correcting LangGraph loop, and embeds on your website with one line of code.
See the Self-Correction Engine in Action.
Select any preloaded document to inspect real-time hybrid retrieval, dense reranking, and reflection loop.
Employee_Handbook_2026.pdf
PyMuPDF Ingestion · Cohere Dense + BM25
Select Sample Question:
Interactive / AutoFull-time employees receive a one-time $1,000 home-office stipend upon onboarding, plus a $75/month internet and utility allowance reimbursed via payroll. All receipts must be submitted via the finance portal within 30 days of purchase.
1-LINE INTEGRATION
Embed Anywhere in Seconds.
Universally compatible with Plain HTML, React, Next.js, Vue, WordPress, Shopify, Webflow, and custom dashboards.
From Raw PDF to Live Embed in 3 Steps.
Scroll to animate through the autonomous indexing and deployment pipeline.From raw documents to live embed in three simple, streamlined steps.
Upload Knowledge Documents
Upload your policy manuals, SOPs, and handbooks in PDF or Markdown (.md) format. Files are securely uploaded directly to Cloudflare R2 with AWS SigV4 signed lengths, parsed by PyMuPDF or native Markdown AST chunking.
Vectorize & Tune Engine
Dedicated Celery workers compute Cohere dense embeddings (1024-dim) and BM25 sparse encodings into Pinecone. Fine-tune hybrid weighting (alpha), cosine similarity thresholds, and custom agent instructions.
Embed & Inspect Telemetry
Copy the 1-line script tag with domain CORS allowlisting. Monitor real-time RPM, latency, token consumption, and knowledge gaps from your centralized telemetry dashboard.
THE SUPPORT BOT PARADOX
Generic AI Chatbots Were Never Built for Business Documentation.
Most bots are naive single-pass wrappers. When real customers ask technical or nuanced policy questions, standard AI chatbots fail in three dangerous ways:
The Hallucination Danger
When a generic bot cannot find facts, it makes them up. In business support, a false refund policy, invented warranty, or incorrect pricing destroys trust and loses customers.
The RAG Engineering Tax
Building reliable RAG in-house requires PyMuPDF and Markdown AST chunking, dense vector DBs, BM25 sparse encoders, rerankers, Celery task workers, and Redis caches—months of infrastructure plumbing.
The Blind Box Dilemma
You deploy a chatbot, but have zero visibility into what customers asked that failed. You cannot improve your documentation because you don't know where the knowledge gaps are.
ENGINEERED FOR ACCURACY
Key Capabilities That Make FoxxNuts Uniquely Reliable.
Four purpose-built architectural pillars designed from the ground up for zero hallucinations and enterprise resilience.
Autonomous Self-Evaluating Reflection Loop
Unlike single-pass chatbots, FoxxNuts routes queries through a compiled LangGraph state machine. An autonomous judge node evaluates the drafted response against retrieved document chunks. If ungrounded or incomplete, it self-corrects through query rephrasing or revision before returning the approved answer.
Hybrid Vector + Jina Neural Rerank
Combines deep semantic comprehension (Cohere 1024-dim dense embeddings) with exact keyword precision (BM25 sparse index) on Pinecone, refined by a Jina multilingual cross-encoder.
Celery Workers & Redis Cache
Asynchronous task queues handle document parsing and embedding safely in the background. Redis caching delivers sub-5ms lookups for active sessions and telemetry.
Automated Knowledge Gap Detection
Isolates every customer question where no matching context could be retrieved from your PDFs or Markdown documents. Turns missed queries into an actionable checklist of documentation to write next.
FULL OPERATIONAL VISIBILITY
Don't Fly Blind. Inspect Every Execution Trace in Real Time.
Enterprise AI demands accountability. FoxxNuts gives you real-time throughput metrics, token consumption rates, and granular trajectory inspection.
14,820
↑ 24% this week98.6%
Hybrid Threshold ≥ 0.65380 ms
Optimized Pipeline96.2%
Based on ratingsWHY FOXXNUTS WINS
How FoxxNuts Compares.
See how our LangGraph RAG architecture outperforms generic chat platforms and raw API calls.
← Scroll horizontally to view full matrix →
| Capability / Architecture | FoxxNuts AI (v1.0) | Generic LLM Wrappers | Building In-House |
|---|---|---|---|
| Self-Evaluating RAG Loop | ✓ Multi-node LangGraph Engine | ✗ Single-pass prompt injection | Requires custom agent dev |
| Retrieval Technology | ✓ Hybrid (Cohere + BM25) + Jina Rerank | Naive dense search only | Requires 4+ vector tools |
| Knowledge Gap Detection | ✓ Automatic telemetry isolation | ✗ None (Blind box) | Manual log parsing |
| Inference Speed | ✓ Sub-500ms streaming | 2.5s – 5.0s standard API | Depends on setup |
| Time to Production | ✓ Instant 1-line embed | 15 – 30 minutes | 2 – 3 months engineering |
ENTERPRISE GOVERNANCE
Isolated, Encrypted, and Compliant.
Your proprietary manuals, code, and customer policies are safeguarded with bank-grade tenant isolation.
SigV4 Signed Storage
Direct uploads to Cloudflare R2 with AWS SigV4 cryptographic length locks preventing tampering.
Supabase RLS Isolation
Row-Level Security ensures your company documents and chat histories remain strictly tenant-isolated.
Domain CORS Allowlisting
Lock widget embeds strictly to your official company domains, preventing third-party unauthorized use.