Custom Knowledge Retrieval (RAG) for Enterprise Data

Keyword search requires knowing exact phrasing, misses relevant context across formats, and forces employees to read through 50-page documents to find a single policy detail.

Our custom Retrieval-Augmented Generation (RAG) architectures interpret semantic intent, extract the exact paragraph needed, and generate precise, actionable answers in seconds.

Hybrid Semantic & Keyword Search

We combine dense vector search with sparse keyword indexing and cross-encoder re-ranking to achieve high retrieval precision on technical and domain-specific vocabulary.

Multi-Format Ingestion Pipelines

Automated ETL pipelines that continuously parse, clean, chunk, and index PDFs, Word documents, spreadsheets, scanned images (via OCR), and API data streams.

Role-Based Access Control (RBAC)

Strict permission matching ensures users only receive answers generated from documents they have explicit authorization to view.

Traceable Source Attributions

Every response includes interactive inline citations linking directly to the exact source document, page number, and paragraph used.