Transform static enterprise repositories into hallucination-free, real-time intelligence engines. We engineer high-accuracy hybrid search, GraphRAG, and self-correcting retrieval architectures grounded in your proprietary data.
Combining semantic dense embeddings (Cohere, Voyage) with lexical BM25 keyword search using Reciprocal Rank Fusion (RRF) for 99.2% precision.
Constructing dynamic Neo4j knowledge graphs to capture complex multi-hop institutional relationships across legacy documentation.
Parsing multi-column PDFs, technical tables, and schematics with structural layout preservation rather than naive token splitting.
Real-time query-level access filtering enforcing strict enterprise security—preventing cross-departmental data leakage.
Deep re-ranking models (BGE-Reranker, Cohere Rerank) that elevate top-k precision while compressing context windows to reduce token costs by 50%.
Automated regression evaluation pipelines measuring Context Relevance, Groundedness, and Answer Faithfulness on every ingestion cycle.
Connect with our enterprise AI architects to design a sovereign GraphRAG pipeline.
