AI & Machine Learning
Enterprise RAG & Hybrid Vector Search
High-precision hybrid dense-sparse vector search systems combining BM25 lexical indexing with high-dimensional embedding search at scale.
Core Competency Rating96%
Architecture Blueprint
Sub-50ms vector query evaluation pipeline with 98.6% Precision@10 on unstructured enterprise document stores.
Key Technical Capabilities
Hybrid Reciprocal Rank Fusion (RRF)
Multi-Modal Vector Indexing (Text, Code, Images, PDFs)
Context Compression & Re-Ranking (Cohere Rerank)
Petabyte Knowledge Base Ingestion Pipelines
Tooling & Production Stack
QdrantPineconeMilvusBM25 / ElasticsearchLlamaIndexLangChain