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A retriever pipeline Python web application that allows users to chat with PDFs and web articles using AI. Combines FAISS vector similarity search and BM25 keyword matching for accurate document retrieval and uses Voyage AI embeddings and LLaMA hosted on Cloudflare Workers AI for question answering.
This demo showcases how retailers can turn digital receipts into personalized, AI-powered experiences using MongoDB Atlas. Built with event-driven microservices, this solution demonstrates how to centralize invoice data and use it in real time to enrich customer journeys.
Real-Time Lakehouse on Azure & Databricks. Ingests clickstream events via Event Hubs & Delta Live Tables (DLT) with <500ms latency to trigger Agentic AI recovery workflows.
Use AI and real-time data processing to prevent customer churn in e-commerce. Monitor customer behavior through MongoDB change streams, detecting critical behavior signals. When these moments are identified, an AI agent generates personalized NBAs.
Self-hosted code intelligence hub. Uses VoyageAI embeddings for semantic searching code. CLI + server modes, MCP for Claude Desktop, FTS/regex, git history search, and SCIP searches. Automatic inter repository domain mapping. Automatic wiki generation for repos containing .md files and images.