Browse all content tagged with Enterprise Search
The LlamaCloud MCP Server connects AI assistants to multiple managed indexes on LlamaCloud, enabling enterprise-scale document retrieval, search, and knowledge augmentation through a clean, tool-based Model Context Protocol interface.
The VertexAI Search MCP Server connects AI assistants with Google Vertex AI Search, enabling them to query and retrieve information from private datasets in Vertex AI Datastore. It grounds AI responses in your proprietary data for greater accuracy—ideal for automating enterprise search, augmenting knowledge bases, and building custom AI assistants.
The Solr Search MCP Server integrates Large Language Models (LLMs) with Apache Solr, enabling secure, authenticated, and type-safe search and retrieval of documents directly from Solr collections via the Model Context Protocol (MCP). Empower your AI assistants with enterprise-grade search, advanced filtering, sorting, and asynchronous queries—all within your FlowHunt workflows.
Vectara MCP Server is an open source bridge between AI assistants and Vectara's Trusted RAG platform, enabling secure, efficient Retrieval-Augmented Generation (RAG) and enterprise search for generative AI workflows in FlowHunt.
Discover what an Insight Engine is—an advanced, AI-driven platform that enhances data search and analysis by understanding context and intent. Learn how Insight Engines integrate NLP, machine learning, and deep learning to deliver actionable insights from structured and unstructured data sources.
