G2 Vendor Directory

Azure AI Search vs. Hebbia AI

A side-by-side comparison based on G2 review data.

MetricAzure AI Search

by Microsoft

Hebbia AI

by Hebbia

Overall rating4.44.4
Review count3476
Ease of use8.59.0
Ease of setup8.49.0
Quality of support8.79.2
Meets requirements8.78.6
NPS66.66666754.666667
Small Business38.2%47.4%
Mid-Market41.2%34.2%
Enterprise20.6%18.4%
Total page views1931,909
Total LLM citations1,54712,494

Azure AI Search

Azure AI Search is an enterprise knowledge system designed to power sophisticated retrieval-augmented generation (RAG) applications and enterprise search engines. By integrating advanced AI and search technologies, it enables organizations to build end-to-end RAG systems that are optimized for application excellence, enterprise readiness, and rapid market deployment. Key Features and Functionality: - Hybrid Search Capabilities: Executes both text (keyword) and vector searches in a single query, merging results using Reciprocal Rank Fusion (RRF).

Pros

  • Easy Integrations
  • Ease of Use
  • Helpful
  • Customizable Search
  • Results
  • Features

Hebbia AI

Hebbia is an advanced AI platform purpose-built for financial institutions to transform how analysts, bankers, and investors handle document-intensive workflows. Its flagship product, Matrix, serves as a co-pilot for finance, automating processes that rely on parsing and analyzing vast sets of PDFs, spreadsheets, and data rooms. How Matrix Works Matrix leverages large language models (LLMs) such as OpenAI and Anthropic, but extends them with agentic execution that decomposes financial queries into multi-step actions.

Pros

  • Features
  • Useful
  • Document Management
  • Helpful
  • User Interface
  • Ease of Use