LlamaCloud
LlamaCloud, developed by LlamaIndex, is a fully managed service for parsing, ingesting, and retrieving data, enabling companies to create and deploy AI-driven knowledge applications. It provides a flexible and scalable pipeline for handling data in Retrieval-Augmented Generation (RAG) scenarios. LlamaCloud simplifies data preparation for LLM applications, allowing developers to focus on building business logic instead of managing data.
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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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Theum
Theum is cutting-edge software that combines comprehensive knowledge management technology with the power of generative AI to create the ultimate platform for automating and controlling your organization’s knowledge flows and realizing the maximum value of your knowledge assets.
- Automate complex requirements for aggregating, curating, synchronizing, securing, converting, publishing, and delivering knowledge from every silo
- Enable fast retrieval of the exact, detailed knowledge needed for any task with state-of-the-art, multilingual semantic search enhanced with one-of-a-kind, intelligent context guidance
- Empower users with the analytical power of ChatGPT, ready-to-use with a few clicks and seamlessly integrated with your knowledge
- Improve knowledge quality and impact by measuring user engagement, access patterns, trending needs, knowledge hotspots, and more
- Eliminate unscalable AI development, uncontrolled knowledge flows, and the risk of unapproved knowledge
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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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