Cogni-AI — Enterprise RAG & Agent Platform

Build domain assistants with secure, cited answers

One‑liner

Cogni-AI lets your organization create AI chat assistants powered by your own data. Admins connect sources, define access, and tune retrieval; users ask questions and get cited, trustworthy answers—across web, desktop, or chat apps.

Product Snapshot

  • What it is: Multi-tenant, role-based RAG platform for domain assistants (HR, SOPs, safety, engineering, sales, legal).
  • Who it’s for: Companies, institutes, support, safety/compliance, IT, operations.
  • Core outputs: Cited answers, key passages, downloadable snippets, procedures, and source links.
  • Interfaces: Web app, mobile PWA, Slack/Teams add-ins, share links, embeddable widget.
  • Admin control: Data spaces, access rules, connectors, chunking/reranking, prompts, analytics, audit logs.
  • Security: Org/space RBAC, document ACLs, SSO/SAML/OIDC, encryption, audit events, PII redaction.
  • LLM/RAG stack: Hybrid retrieval, reranking, enforced citations, confidence gating, feedback loops.
  • Deploy: Cloud SaaS or private cloud (Docker/K8s); OpenAI/Azure, local LLaMA/Ollama, or Groq.

Roles & Permissions

  • Super Admin: Multi-tenant controls, billing, global policies, model routing.
  • Org Admin: Users/SSO, Data Spaces, labels, connectors, org analytics.
  • Knowledge Manager: Ingest sources, tune chunking, curate Q&A, manage citations.
  • Bot/Flow Designer: Build assistants, set tools, prompts, guardrails, fallbacks.
  • Reviewer: Validate answers, resolve no‑answer cases, publish fixes.
  • End User: Ask questions, get cited answers, export snippets, give feedback.

Data Ingestion & Connectors

  • Files: PDF, DOCX, PPTX, XLSX/CSV, HTML, Markdown, images (OCR).
  • Drives & Wikis: Google Drive, SharePoint/OneDrive, Notion, Confluence.
  • Sites & Feeds: URL lists, sitemaps, RSS.
  • Tickets/Repos (optional): JIRA, GitHub/GitLab (read‑only).
  • Email sync (optional): support mailboxes for KB creation.
  • Pipelines: dedup, OCR, language detect, PII masking, auto‑tagging, semantic/hierarchical chunking.
  • Sync: one‑off import, scheduled sync, or webhook near‑real‑time.
  • Vector/Index: pgvector, Milvus, Pinecone, Azure AI Search, ClickHouse vectors.
  • Embeddings: OpenAI/Azure, local BGE/Instructor via Ollama. Rerankers: BGE/Cohere/Azure.

Retrieval & Answering

  • Hybrid retrieval: BM25 + vectors + metadata filters; reranking with cross‑encoders.
  • Citations always on with source cards; confidence gating with fallback guidance.
  • Multi‑turn, role‑aware memory; no leakage across spaces.
  • Optional tools: calculator, glossary, web fetch (allow‑list), SQL read adapters.
  • Guardrails: forbidden topics, PHI/PII blocking, “internal‑sources only” mode.

User Experience

Left: Spaces & assistants; Center: chat with sources under each answer; Right: quick actions (export, create ticket, save, share).

Modes: Ask, Summarize, Compare docs, Extract table, Create FAQ. Accessible, multilingual UI.

Cogni-AI

Why companies adopt Cogni‑AI

  • Single internal knowledge interface for every team
  • Least-privilege answers: users only see what they’re allowed to see
  • High trust: citations back to the original document and section
  • Reduced context-switching: ask, summarize, generate docs, create tickets
  • Measurable impact: time saved, ticket deflection, answer confidence
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