Searchcraft

Searchcraft is an AI-powered search and content discovery platform designed for digital product teams seeking fast, tunable, and transparent search solutions. It addresses the need for intelligent retrieval by combining traditional keyword search with semantic AI capabilities, enabling users to receive relevant and contextual answers rather than simple document lists. The platform emphasizes accessibility and ease of implementation for teams building internal tools, AI assistants, product search experiences, or generative AI interfaces.

The platform features a high-performance Rust engine that supports lexical search with filters, facets, fuzzy matching, and full control over ranking. Its AI Keyword Search enriches standard keyword queries with natural language understanding, making it suitable for chat interfaces and human-friendly previews. The Semantic Control Layer interprets user intent and query meaning without requiring vector management or embeddings, maintaining transparency and speed. Searchcraft also provides natural language summaries and real-time relevance, aiming to deliver contextual answers and improve user engagement, session times, and conversions.

Searchcraft's capabilities extend to enterprise search across structured data, supporting both internal intranets and customer-facing platforms. It is equipped to serve as a retrieval layer for autonomous AI agents and retrieval-augmented generation (RAG) workflows, offering structured indexing, transparent tuning, and semantic intent awareness. The platform supports Model Context Protocol (MCP) for standardized AI agent integrations and delivers structured results for large language models (LLMs) in real time. Features such as ultra-fast caching, multi-threaded indexing, de-coupled tuning, typo tolerance, fuzzy matching, custom synonyms, field boosting, language stemming, configurable stopwords, and time decay scoring are included to enhance accuracy and user experience.

Searchcraft is engineered for high efficiency, delivering sub-millisecond query responses and handling hundreds of millions of records with minimal compute requirements. It offers developer-friendly tools for analytics and tuning, and is built to be human-oriented with features that accommodate spelling errors and varied terminology.