Azure AI Search

Azure AI Search

Microsoft
+
+

Related Products

  • SearchUnify
    150 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • Couchbase
    417 Ratings
    Visit Website
  • NINJIO
    416 Ratings
    Visit Website
  • AddSearch
    145 Ratings
    Visit Website
  • Cloudflare
    2,048 Ratings
    Visit Website
  • Haystack
    292 Ratings
    Visit Website
  • Azore CFD
    26 Ratings
    Visit Website
  • RouteGenie
    49 Ratings
    Visit Website

About

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.

About

VectorDB is a lightweight Python package for storing and retrieving text using chunking, embedding, and vector search techniques. It provides an easy-to-use interface for saving, searching, and managing textual data with associated metadata and is designed for use cases where low latency is essential. Vector search and embeddings are essential when working with large language models because they enable efficient and accurate retrieval of relevant information from massive datasets. By converting text into high-dimensional vectors, these techniques allow for quick comparisons and searches, even when dealing with millions of documents. This makes it possible to find the most relevant results in a fraction of the time it would take using traditional text-based search methods. Additionally, embeddings capture the semantic meaning of the text, which helps improve the quality of the search results and enables more advanced natural language processing tasks.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies and individuals wanting a tool to perform advanced search and retrieval operations

Audience

Anyone in need of a tool to save, search, store, manage, and retrieve text

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.11 per hour
Free Version Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/ai-services/ai-search/

Company Information

VectorDB
United States
vectordb.com

Alternatives

Alternatives

Categories

Categories

Vector Databases Supported

Integrations

Azure AI Services Supported
Azure Machine Learning Supported
Azure Marketplace Supported
Azure OpenAI Service Supported
Cognee Supported
Lamatic.ai Not Supported
Microsoft Azure Supported
Microsoft Copilot Studio Supported
Microsoft Foundry Agent Service Supported
Microsoft Intelligent Data Platform Supported
Python Not Supported
Titan CMS Supported

Integrations

Azure AI Services Not Supported
Azure Machine Learning Not Supported
Azure Marketplace Not Supported
Azure OpenAI Service Not Supported
Cognee Not Supported
Lamatic.ai Supported
Microsoft Azure Not Supported
Microsoft Copilot Studio Not Supported
Microsoft Foundry Agent Service Not Supported
Microsoft Intelligent Data Platform Not Supported
Python Supported
Titan CMS Not Supported
Claim Azure AI Search and update features and information
Claim Azure AI Search and update features and information
Claim VectorDB and update features and information
Claim VectorDB and update features and information