Enables LLMs to scrape, index, and search modern and legacy Salesforce documentation by piercing complex Shadow DOM and iframe structures. It supports hierarchical spidering of entire guides and local RAG capabilities using a SQLite database for offline querying.
Enables AI assistants to crawl, index, and retrieve information from technical documentation using semantic search, with optional knowledge graph validation for code hallucination detection.
Enables AI agents to explore Salesforce metadata by parsing object and field definitions, reducing hallucination when working with Salesforce repositories.
Enables AI coding agents to query a pre-built semantic knowledge graph of code, reducing token usage and tool calls. Supports 16 tools for code exploration, analysis, and context building.
Provides AI agents with secure access to Salesforce data and operations, enabling natural language interaction with CRM for sales, marketing, and executive teams.
