Amazon Kendra vs Kagi Search

Amazon Kendra is a cloud enterprise search service for websites and applications, available through APIs and the web. It uses machine learning to answer natural-language questions, match curated FAQs, and extract answers from HTML tables. The Kendra Retriever API supplies semantically relevant passages for retrieval-augmented generation, with access-control and metadata filtering and relevance tuning. Native connectors cover Amazon S3, Microsoft SharePoint, Salesforce, ServiceNow, Google Drive, and Confluence, while custom and partner connectors are supported. Experience Builder creates search applications without coding or machine-learning experience and integrates with AWS IAM Identity Center, Azure AD, and Okta. Search Analytics reports quality, usability, interaction, and content gaps. Document enrichment can add metadata, convert scans to text, classify files, extract entities, and transform content. Encryption, permission synchronization, answer citations, admin controls, and listed compliance programs are included. Pricing is paid, from $1.12 with a 30-day trial; no free plan.

Kagi Search has no write-up on Specifiction yet; its figures are above.