Inquir
Inquir is an AI-powered platform that enables users to create personalized search engines tailored to their specific data needs. It offers capabilities such as integrating diverse data sources, building Retrieval-Augmented Generation (RAG) systems, and implementing context-aware search functionalities. Inquir's features include scalability, security with separate infrastructure for each organization, and a developer-friendly API. It also provides a faceted search for efficient data discovery and an analytics API to enhance the search experience. Flexible pricing plans are available, ranging from a free demo access tier to enterprise solutions, accommodating various business sizes and requirements. Transform product discovery with Inquir. Improve conversion rates and customer retention by providing fast and robust search experiences.
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Superlinked
Combine semantic relevance and user feedback to reliably retrieve the optimal document chunks in your retrieval augmented generation system. Combine semantic relevance and document freshness in your search system, because more recent results tend to be more accurate. Build a real-time personalized ecommerce product feed with user vectors constructed from SKU embeddings the user interacted with. Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook.
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Agent Search on Gemini Enterprise Agent Platform
Agent Search on Gemini Enterprise Agent Platform is a powerful solution designed to deliver Google-quality search experiences using enterprise data. It enables developers to build advanced search systems for websites, structured datasets, and unstructured content quickly and efficiently. The platform enhances traditional keyword search by introducing conversational, generative AI-powered search capabilities. It also serves as an out-of-the-box retrieval augmented generation (RAG) system, improving the accuracy and relevance of AI-generated responses. Agent Search simplifies complex processes like data ingestion, indexing, and retrieval into a streamlined workflow. It supports industry-specific use cases, including healthcare, media, and commerce, with tailored search capabilities. Developers can further customize solutions using APIs for embeddings, ranking, and grounded generation. Overall, it helps organizations transform how users discover and interact with information.
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Azure AI Search
Deliver high-quality responses with a vector database built for advanced retrieval augmented generation (RAG) and modern search. Focus on exponential growth with an enterprise-ready vector database that comes with security, compliance, and responsible AI practices built in. Build better applications with sophisticated retrieval strategies backed by decades of research and customer validation. Quickly deploy your generative AI app with seamless platform and data integrations for data sources, AI models, and frameworks. Automatically upload data from a wide range of supported Azure and third-party sources. Streamline vector data processing with built-in extraction, chunking, enrichment, and vectorization, all in one flow. Support for multivector, hybrid, multilingual, and metadata filtering. Move beyond vector-only search with keyword match scoring, reranking, geospatial search, and autocomplete.
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