Azure AI Search Description
Achieve exceptional response quality through a vector database specifically designed for advanced retrieval augmented generation (RAG) and contemporary search functionalities. Emphasize substantial growth with a robust, enterprise-ready vector database that inherently includes security, compliance, and ethical AI methodologies. Create superior applications utilizing advanced retrieval techniques that are underpinned by years of research and proven customer success. Effortlessly launch your generative AI application with integrated platforms and data sources, including seamless connections to AI models and frameworks. Facilitate the automatic data upload from an extensive array of compatible Azure and third-party sources. Enhance vector data processing with comprehensive features for extraction, chunking, enrichment, and vectorization, all streamlined in a single workflow. Offer support for diverse vector types, hybrid models, multilingual capabilities, and metadata filtering. Go beyond simple vector searches by incorporating keyword match scoring, reranking, geospatial search capabilities, and autocomplete features. This holistic approach ensures that your applications can meet a wide range of user needs and adapt to evolving demands.
Azure AI Search Alternatives
Amazon Bedrock
Amazon Bedrock is a comprehensive service that streamlines the development and expansion of generative AI applications by offering access to a diverse range of high-performance foundation models (FMs) from top AI organizations, including AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Utilizing a unified API, developers have the opportunity to explore these models, personalize them through methods such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that can engage with various enterprise systems and data sources. As a serverless solution, Amazon Bedrock removes the complexities associated with infrastructure management, enabling the effortless incorporation of generative AI functionalities into applications while prioritizing security, privacy, and ethical AI practices. This service empowers developers to innovate rapidly, ultimately enhancing the capabilities of their applications and fostering a more dynamic tech ecosystem.
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Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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Pinecone
The AI Knowledge Platform.
The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems.
Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval.
Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters.
Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.
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Azure AI Document Intelligence
AI Document Intelligence is an advanced AI service designed to utilize sophisticated machine learning techniques for the automatic and precise extraction of text, key-value pairs, tables, and other structural elements from various documents. By transforming documents into actionable data, users can redirect their efforts towards leveraging information rather than simply gathering it. Users have the option to begin with existing models or develop personalized models suited to their specific documents, whether on-premises or in the cloud, using the AI Document Intelligence studio or SDK. This technology enables businesses to streamline their processes through the automation of text extraction, significantly enhancing efficiency. The accompanying webinar provides practical demonstrations for essential applications, including document processing, knowledge mining, and customization of AI models for specific industries. With the capability to accurately extract text, key-value pairs, and tables from an array of document types such as forms, receipts, invoices, and cards, there is no need for manual labeling, extensive coding, or ongoing maintenance. Additionally, users can utilize custom forms, prebuilt APIs, and layout APIs offered by AI Document Intelligence to efficiently extract necessary information, propelling their operations into a new realm of productivity and innovation. This comprehensive approach allows organizations to harness the power of AI in managing their documentation seamlessly.
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Pricing
Pricing Starts At:
$0.11 per hour
Free Version:
Yes
Free Trial:
Yes
Integrations
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
azure.microsoft.com/en-us/products/ai-services/ai-search/
Media
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Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Product Details
Platforms
Web-Based
Types of Training
Training Docs
Webinars
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Azure AI Search Features and Options
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