Vectara

Vertex AI Gemini

Enhance your Google Cloud Vertex AI Gemini model integration with web search connection, precise knowledge retrieval, and text-based replies using customizable utilities and real-time assistance.

Vertex AI Search

Unlock the power of advanced search and data retrieval operations on extensive datasets with seamless integration with Google's Vertex AI and Discovery Engine APIs. Enhance your semantic search capabilities and elevate natural language understanding for optimized performance.

Better Qdrant

Enhance your AI systems with seamless integration to the Qdrant vector database for advanced semantic search functions using diverse embedding services. Streamline document handling and similarity assessments directly within the chat interface for an enhanced user experience.

Milvus (Vector Database)

Enhance the connectivity between artificial intelligence platforms and the Milvus vector database to streamline semantic search, text retrieval, and hybrid data retrieval processes. This integration facilitates swift and accurate similarity matching and data extraction from vector datasets.

Valyu Knowledge Retrieval

Enhance your information search capabilities by seamlessly connecting to Valyu's knowledge retrieval and feedback APIs. Access a wide range of proprietary and web sources to improve information retrieval and user interaction. Share your feedback effortlessly to optimize your search experience.

Tavily Search

Enhance your online searches with cutting-edge AI technology from Tavily. Benefit from AI-generated summaries and real-time result caching for accurate and timely information retrieval.

Knowledge Base Retrieval

Enhances connectivity with databases to streamline information access and transformation, enhancing capabilities for responding to inquiries and retrieving data effectively.

Supavec

Enhance your knowledge retrieval and semantic search applications with seamless integration to Supavec. Access contextually relevant embeddings and related content efficiently through the Model Context Protocol (MCP).

Tavily Search

Employs the Tavily API for enhanced online search functions, delivering AI-crafted answers alongside their origins within a versatile, containerized system that works across various platforms.

Solr Vector Search

Enhance your search experience by linking Apache Solr search indexes with vector embeddings. This innovation allows for a blend of keyword and semantic document searches, facilitating contextual search queries within structured data sources without the need for direct database interaction.

Weaviate

Discover a versatile database solution designed for storing, searching, and accessing lasting memories and structured information within various conversation contexts. Utilizing the cutting-edge search functionalities of Weaviate, this Model Context Protocol (MCP) offers enhanced capabilities for seamless information retrieval.