ENTERPRISE DOCUMENT INTELLIGENCE
Nexus AI Workspace
A professional knowledge platform for operations, finance, legal, and healthcare teams. Upload documents, ask questions, and get trustworthy answers with source references — powered by a production-grade Agentic RAG system.
From raw PDF to grounded answer in seconds.
Ingest
Drop any PDF, contract, or report. Docling parses complex tables, headers, and multi-column layouts into clean, structured chunks.
Index
Chunks are dual-indexed: keyword tokens in OpenSearch (BM25) and sentence-transformer embeddings as dense vectors.
Reason
A LangGraph agent evaluates your query, decides whether to retrieve more context or rewrite the question, and grades passages.
Answer
The grounded response arrives with exact page numbers, quoted excerpts, and a confidence score. Zero hallucination.
Every module ships production-ready.
Deploy one module or the entire workspace. Each package is independently versioned, containerised, and connected to the shared knowledge engine.
RFP Module
Feed Nexus AI your knowledge base — case studies, past proposals, technical specs — then submit any RFP PDF. The agent retrieves context, drafts section-by-section responses, and flags risk clauses.
Knowledge Retriever
A persistent, always-on knowledge base. Index hundreds of SOPs, policies, and technical guides. Query the library in plain English and receive cited answers with exact paragraph references.
WhatsApp Auto-Reply
Connect Nexus AI to WhatsApp Business via the Meta Cloud API. Incoming messages route through the RAG pipeline for grounded, automatic replies. Ideal for support or internal helpdesks.
Chat Module
A clean Streamlit-powered chat frontend for interactive document research. Adjust retrieved passages, filter by document, and trace every claim in expandable citation panels.
Built on the tools that serious teams trust.
LangGraph
State-machine graph that controls retrieval loops, query rewriting, and document grading.
OpenSearch
BM25 full-text index plus k-NN vector index handling both keyword and semantic queries.
Docling
GPU-accelerated PDF parser preserving table structure and section hierarchy.
Langfuse
End-to-end tracing to debug latency, token cost, and retrieval quality.
Healthcare, Legal, Finance, HR and Operations Teams.
Nexus AI helps teams reduce document search time, improve answer consistency, and keep decisions traceable with source-backed responses.
- Upload documents and set business context for custom operations.
- Ask natural-language questions in seconds and receive answers with exact page citations.
- Audit every response back to the source document with precision.
Nexus RAG, answered.
What is Nexus RAG?
Nexus RAG is the retrieval-augmented generation engine behind Nexus AI Workspace. It combines hybrid search (OpenSearch BM25 plus vector embeddings) with a LangGraph reasoning agent, so answers are grounded in your actual documents instead of the model's training data.
Is Nexus RAG agentic RAG, or a standard RAG pipeline?
It's agentic. A standard RAG pipeline retrieves once and answers. Nexus RAG's LangGraph agent can evaluate whether the retrieved context is sufficient, rewrite the query, retrieve again, and grade passages before producing a final answer — closer to how a human researcher would work.
How accurate are Nexus RAG's answers?
Every answer ships with exact page numbers, quoted excerpts, and a confidence score, so accuracy is auditable rather than assumed. P95 retrieval latency stays under 500ms, and every claim traces back to a specific source document.
Can Nexus RAG be deployed as a standalone module?
Yes — the Knowledge Retriever module runs the RAG engine on its own as a persistent, always-on knowledge base, independent of the RFP, WhatsApp, or Chat modules. Each module is containerised and can be deployed individually.