Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.
Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
Enables LLMs to search and retrieve information from large technical documentation (OpenAPI specs, markdown) via intelligent chunking and semantic search.
The context layer for GTM teams — one source of truth for brand and company context, so your whole team produces consistent, on-brand content in any AI tool.
Provides structured access to RealTest backtesting documentation and example scripts to help LLM agents generate accurate RealScript code. It offers tools for semantic search, authoritative function references, and verified script retrieval to prevent hallucinations.
