Enterprise document search
Unified semantic search across policies, product and project documents, with answers that cite the source text and permissions that follow the user.
- Cross-industry
- Manufacturing
- Energy
Turn enterprise knowledge and data into assets AI can use
Data decides what an Agent "knows". Research shows LLMs unlocked previously inaccessible data in 88% of cases, yet only 6% of enterprise data is AI-ready. Turning scattered documents into callable, traceable, permission-controlled assets is the foundation of Agent accuracy.
Core services
Systematic organization of policies, products, business, training, FAQs and contracts
Structured, searchable, permission-controlled multimodal knowledge bases
Improve retrieval accuracy, answer reliability and citation quality
Standardize, classify and tag business data
Translate metrics, fields and processes into semantics AI can understand
Each role sees only authorized data, with end-to-end auditability
Customer value
Production-grade RAG
OCR, layout and table reconstruction, multi-format support
Semantic and hierarchical chunking, overlapping windows, parent-child chunks
Domain-tuned embeddings, multi-vector representations
Vector + BM25 + knowledge graph, query rewriting and HyDE
Reranking, context compression
Citation marking, faithfulness checks, recall evaluation
Related Agent templates
Unified semantic search across policies, product and project documents, with answers that cite the source text and permissions that follow the user.
Brings regulations, industry standards and internal policies together and answers with the clause text and its effective status, so no one cites an outdated rule.
Answers frequent employee questions on attendance, social insurance, expenses and IT, citing the policy text, and hands complex cases to a person.
Related case studies
FAQ
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