What I work on.

Production-ready integration of Cohere's Rerank 3.5 with Pinecone for enhanced financial data retrieval and relevance optimization

Co-authored research findings on applying internal AI detection models to real-world datasets, revealing critical limitations in existing detection systems

A talk on Alakazam-VGC — a fine-tuned LLM that answers competitive Pokémon battle-calc questions in natural language.

LLM-powered web application enabling competitive players to perform complex game calculations through conversational interfaces

Research-backed approach using keyboard/mouse behavioral patterns to identify AI tool usage in content generation, published at HCOMP 2023

Comprehensive webinar exploring advanced semantic search architectures including dense, sparse, and hybrid embeddings with practical evaluation demonstrations

A demo app combining Pinecone full-text search with multimodal vector search to find any of 2,000+ North American birds — by name or by what they look like.

A walkthrough of Anthropic's contextual retrieval technique, implemented with Pinecone.

Comprehensive guide to text preprocessing optimization that became one of Pinecone's most-viewed resources, updated with modern RAG frameworks and production-ready chunking heuristics

A CLI from the Pinecone DevRel team for writing tests for agent skills and benchmarking them across Claude, Copilot, and Gemini — locally or in sandboxes.

Comprehensive tutorial demonstrating how to eliminate LLM hallucination by integrating real-time data retrieval with vector search

An interview-style technical deep dive exploring five key innovations in Pinecone's serverless vector database architecture.

Demo implementation of vector search enhanced with Cohere Rerank 3.5 for enterprise document analysis

Technical deep-dive into production-ready RAG capabilities and enterprise vector database features

Comprehensive 2025 walkthrough demonstrating Pinecone implementation, integrated inference capabilities, and semantic search best practices

LlamaIndex workflow-driven RAG chatbot providing intelligent statistical testing guidance and educational support

Building contextual advertising and recommendation systems using video embedding models and vector databases

First multilingual cross-lingual implementation example for Pinecone, demonstrating language learning search with vector embeddings and inference API

Comprehensive analysis of third-party AI content detection tools through experimental design and comparative evaluation methodologies

Award-winning Streamlit application that won first place in Cohere Hackathon #3 2022, leveraging ML classification to automatically identify artistic styles and generate optimized prompts for image generation workflows

The official library of Pinecone agent skills for agentic IDEs — semantic search, RAG, and assistants, ready to drop into Cursor, Copilot, Windsurf, and more.

Bring Pinecone vector search and RAG document Q&A straight into Claude Code, through slash commands and a bundled MCP server.

The official Pinecone integration for Cursor — agent skills plus a bundled MCP server for building vector search and RAG without leaving the editor.

Educational video demonstrating reranker architecture with visual diagrams to solve context quality challenges in RAG pipelines

Production-ready hybrid search implementation combining dense and sparse retrieval for AI research paper queries

Technical deep-dive demonstrating open source reranking models integration to enhance vector search relevance and RAG pipeline performance

Production-ready study guide generator combining Pinecone Assistant, LangGraph orchestration, and OpenAI for intelligent document processing

Comprehensive tutorial demonstrating multilingual semantic search architecture using vector databases and modern NLP techniques

A CLI and agent skill that quizzes you on AI-generated code and tracks how much of your codebase you actually understand.

Hosted technical webinar demonstrating cross-lingual search implementation using Pinecone's serverless architecture and inference capabilities

Comprehensive technical guide to Pinecone's E5 embedding model, making complex multilingual AI concepts accessible through clear explanations and visual demonstrations

Clear visual explanation of namespace architecture for data separation and multi-tenancy in vector databases

A look at the pinecone-sparse-english-v0 model and high-precision keyword search.

An introduction to context engineering for building reliable LLM-powered applications.