Enterprise Knowledge Copilot
Semantic Search & Synthesis Across Dispersed Systems
Overview
Enterprise information is usually scattered across Slack, Notion, Google Drive, and PDFs. The Knowledge Copilot connects these disjointed documentation repositories, building an enterprise-wide semantic knowledge graph that allows users to perform deep semantic searches, generate synthesis summaries, and extract structured facts with references back to source materials.
Operational Bottlenecks Addressed
Employees losing hours daily searching for internal policy documents, product specs, and guides.
Onboarding bottlenecks where new hires must ask colleagues questions covered in static wikis.
Risk of relying on outdated SOPs, resulting in operational errors and compliance exposure.
The Altimet AI Solution
We design a state-of-the-art Retrieval-Augmented Generation (RAG) platform. By implementing hierarchical document chunking, multi-stage reranking, and semantic vector indexing, we achieve unmatched citation accuracy and eliminate hallucinations, providing reliable, secure access to enterprise IP.
System Pipeline Flow
Document Connectors
Ingests docs from Notion, Drive, Confluence, and internal servers in real time.
Hierarchical Chunking
Splits documents logically to retain contextual links between parents and children.
Vector Embedding
Converts text blocks into high-dimensional vectors for semantic indexing.
Reranking Layer
Sorts retrieved chunks based on domain-specific keyword relevance and user context.
Targeted Operational Metrics
-65%
Time Spent Searching
98.8%
Answer Accuracy
-30%
New Hire Ramp Time
Deployment Phasing
Architecture & Integration FAQs
Operational details and technical requirements.
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