3. Data, Science & AI

Provides structured array handling for multi-field tabular data, C interoperability, and binary blob interpretation in NumPy.

Provides API integration guide for Nanonets OCR service to extract data from documents, create custom models, and perform predictions.

Provides instrumentation for tracking user sessions, conversations, and multi-turn interactions in conversational applications.

Provides SQL query templates for v3_e-report database tables, focusing on data analysis alert configuration. Executes via exec_sql tool.

Queries tenant and organization information from the v3_user database using SQL execution.

Executes parallel peer reviews using multiple LLMs (e.g., Gemini, Codex) and synthesizes feedback into actionable insights for user's current work.

Executes and manages dlt data pipelines and Temporal workflows for SignalRoom, enabling data source synchronization, workflow triggering, and ingestion debugging.

Queries v3_openapi database for integrated connector and API configuration details using the exec_sql tool.

Offers R-based analysis for label-free proteomics data, featuring normalization, volcano plots, pathway enrichment, and protein marker validation.

Provides SQL query templates for v3_metadata database tables including object codes, names, and custom fields, executed via exec_sql tool.

Manages SignalRoom ETL pipelines for data loading, source creation, failure debugging, and schema evolution with incremental loading capabilities.

Generates synthesized, cited answers from retrieved documents, functioning as the final step in a RAG pipeline for multi-source response creation.

Context-aware query rewriting to improve retrieval results in RAG systems, especially when queries are vague or documents are missing.

Ranks and scores documents by similarity metrics from vector search, enabling relevance-based sorting and prioritization of search results.

Routes user queries to appropriate data sources (vector database, web search, or direct LLM) and selects collections for efficient information retrieval in RAG systems.

Formats and validates citations for AI-generated answers using multiple sources, ensuring accurate source attribution from ChromaDB and web search results.

Validates dbt SQL models against data transformation conventions, ensuring naming, structure, testing, and documentation compliance for staging, integration, and warehouse layers.

Generates images for Obsidian campaign logs and lore using OpenAI's image generation API, saving directly to file system.

Enables database access for DuckDB, MySQL, PostgreSQL, SQL Server, and DBISAM via ODBC and native drivers.

Generates ASCII tree diagrams from parent-child work item data to visualize hierarchical relationships without code, using LLM reasoning.

Enables image analysis via Google Gemini API for captioning, classification, object detection, and visual question answering.

Evaluates document relevance to queries via binary scoring (yes/no) with reasoning, enabling document filtering and answer generation in retrieval systems.

Automates EnergyPlus building energy simulation generation from natural language descriptions or building images for energy performance analysis.

Enables mathematical physics computations including Lie algebras, quantum chemistry, and theorem proving with Theory2 CLI guidance and verification workflows.