3. Data, Science & AI

Converts PDFs, Office docs, images, audio, and more to LLM-optimized Markdown with text extraction, OCR, and transcription.

Provides comprehensive knowledge for building stateful agentic applications using OpenAI's Responses API with reasoning preservation and tool integration.

Complete guide for OpenAI Assistants API v2, covering RAG, Code Interpreter, and thread management for stateful conversational AI applications.

Enables building AI voice agents with ElevenLabs, featuring agent configuration, voice control, RAG knowledge base, and multi-framework SDKs.

Provides comprehensive guidance for implementing AI inference, LLM deployments, and RAG integrations on Cloudflare Workers AI, including error resolution and streaming.

Comprehensive guide for building AI-powered autonomous agents on Cloudflare Workers and Durable Objects, covering RAG, state management, and multi-agent systems.

Provides a comprehensive Python library for astronomical data analysis, including coordinate transformations, FITS file handling, and cosmological calculations.

Provides a globally distributed vector database for semantic search, RAG systems, and AI applications with support for vector indexing, querying, and metadata filtering.

Processes and generates multimedia content including audio, images, video, and documents using Google Gemini API for analysis and creation tasks.

Manages MongoDB and PostgreSQL databases, covering schema design, query optimization, and performance analysis for data processing workflows.

Provides machine learning algorithms for classification, regression, clustering, and model evaluation in Python.

Comprehensive Google Gemini embeddings API integration for RAG systems, semantic search, and vector search with error prevention and production patterns.

High-performance toolkit for genomic interval analysis, supporting BED files, coverage tracks, and ML tokenization in computational genomics.

Provides tools and patterns for building AI agents with OpenAI Agents SDK, including text/voice agents, multi-agent workflows, and error prevention.

Comprehensive guide for integrating Google Gemini API (v1.27+) with correct SDK usage, covering multimodal inputs, function calling, and model-specific features for AI applications.

Infers gene regulatory networks from transcriptomics data using scalable ML algorithms to identify transcription factor-target gene relationships.

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python, supporting graph algorithms and network analysis across domains.

Provides scikit-learn compatible APIs for time series machine learning tasks including forecasting, anomaly detection, and clustering on temporal data.

Performs exploratory data analysis on multiple file formats to uncover patterns, anomalies, and relationships through statistical summaries and visualizations.

Python interface for mass spectrometry data analysis, enabling proteomics and metabolomics workflows with file handling and quantitative processing.

Automates scientific hypothesis generation and testing by combining LLM insights with empirical data for research discovery in deception detection, AI content analysis, and mental health.

Query meeting intelligence via CLI, including AI-generated summaries, transcripts, action items, and natural language search across all meetings.

Captures and leverages errors, corrections, and learnings from interactions to continuously improve AI accuracy and behavior.

Analyzes stocks and cryptocurrencies using Yahoo Finance data, providing portfolio management and customizable performance reports across multiple timeframes and analysis dimensions.