Chatlly RAG Assistant
Air-Gapped Enterprise Document Intelligence & Hybrid Semantic RAG Platform
The Enterprise Problem & Core Constraints
Enterprises in finance, legal, and healthcare possess vast troves of unstructured knowledge (PDF contracts, Excel balance sheets, technical specifications) but cannot risk leaking sensitive data into public LLM training corpuses or tolerating probabilistic hallucinated citations.
AxonFlow AI designed Chatlly: an enterprise-grade RAG and AgentKit platform engineered for air-gapped or VPC deployments. Featuring hybrid sparse-dense retrieval (Qdrant + BM25 + Cohere Rerank v3) and deterministic source passage highlighting, Chatlly answers complex business questions with exact paragraph citations.
Quantified Business ROI
Deployed across financial advisory and legal compliance teams, reducing contract discovery times from 45 minutes to 12 seconds while maintaining a 100% audited source citation record.
Multi-Tier Production Architecture
Multi-Format Ingestion
Parses complex tables, nested hierarchies, and scanned pages from PDF, DOCX, XLSX, and CSV with optical layout segmentation.
Hybrid Sparse-Dense Retrieval
Executes simultaneous dense vector search (Google text-embedding-004) and sparse keyword retrieval (BM25) with reciprocal rank fusion (RRF).
Cross-Encoder Reranker
Passes top candidate passages through Cohere Rerank v3 to score contextual relevance before feeding tokens to the generation model.
Verifiable Citation System
Pins every generated assertion to an exact line and page citation, allowing enterprise auditors to verify source grounding with one click.
Enterprise Technical Specifications
Live Production Application Preview
Need a Custom System Built with This Architecture?
AxonFlow AI takes enterprise software from initial architectural scoping to live production deployment with guaranteed uptime SLAs and complete code ownership.