Production-grade Retrieval-Augmented Generation architectures. Featuring multi-modal parsing, visual troubleshooting, agentic reasoning, and knowledge graphs.
A dynamic routing system that analyzes user query intent to automatically blend or switch between semantic dense vector search and traditional keyword sparse search (BM25).
An end-to-end ingestion and retrieval engine designed for complex PDFs, financial reports, and blueprints containing embedded charts, tables, and images.
An agentic self-correcting RAG pipeline that evaluates the quality of retrieved documents before generation. If the information is deemed insufficient or irrelevant, it triggers an autonomous web-search agent to pull live data.
A continuous ingestion RAG system connected to real-time data streams (e.g., live news feeds or system logs) that instantly updates an interconnected knowledge graph and vector space with sub-second latency.
An advanced assistant capable of ingesting massive, multi-file code repositories. It maps structural code relationships (classes, inheritance, functions) rather than just treating code as raw text chunks.
A secure, production-grade RAG pipeline designed for highly regulated industries (e.g., banking or healthcare). It automatically redacts Personally Identifiable Information (PII) pre-embedding and intercepts prompt injections.
A data reduction pipeline that strips out filler tokens, redundancies, and irrelevant data from retrieved context documents before feeding them to the LLM.
A persistent memory layer for autonomous AI agents that records user preferences, interaction history, and behavioral shifts, updating its vector index dynamically over time.
A decentralized RAG deployment that splits the computation workload. Sensitive data or fast lookups are queried locally on edge devices using small models, while heavy queries are offloaded to cloud architectures.
A continuous deployment evaluation tool that automatically generates synthetic test datasets from raw documents and scores any RAG pipeline on enterprise metrics.
A next-generation Enterprise Multimodal RAG system that uses VLM descriptions and visual similarity to troubleshoot technical manuals with text or photo inputs.