Does Kagi or Algolia have a free plan?

Kagi is available for free with a free trial. Algolia is available for free with a free trial. Always verify current pricing directly with the vendor.

Kagi vs Algolia

Q: Can I use Kagi and Algolia together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Kagi and Algolia with other tools and save your AI toolkit.

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated May 2026

Kagi

Kagi Inc.

Liberate your search: free of ads, surveillance, and noise.

0.0(0)

FREEMIUM

92% data quality

Algolia

One AI retrieval platform to power agentic, generative, and search experiences

0.0(0)

FREEMIUM

93% data quality

Trust & Reliability

Kagi

Users:10K-100K

GDPR

Algolia

Uptime:99.999%Status page

Overall Winner: Algolia

8.0/10 vs Kagi at 6.8/10

Leads in:

Output Quality

Customizability

Support

AI Comparison Summary

Kagi

6.8

avg score

Algolia

8.0

avg score

Algolia leads overall — particularly in Customizability.

Based on 6 dimensions

How scores are calculated

Overall Winner

Algolia

8.0 / 10

Kagi

Best For

Conducting research without ads or tracking

Personalizing search results to prioritize trusted sources

Accessing multiple AI models for diverse tasks

Summarizing long articles and documents quickly

Not Ideal For

Users unwilling to pay for a search engine

Individuals who prefer ad-supported search models

Those needing extensive offline functionality for search

Algolia

Best For

Enhancing product discovery for e-commerce platforms

Building conversational AI solutions with RAG

Improving documentation search for faster problem-solving

Personalizing user experiences across digital touchpoints

Not Ideal For

Users seeking a simple, no-code website search widget without customization needs

Small personal projects with very limited data and search volume

Organizations requiring on-premise deployment only

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Kagi is best for

🔍Research6.0💬Chat & Conversation5.0

Algolia is best for

🔍Research6.3💬Chat & Conversation6.0🤖Automation & Agents3.0

Filter by your use case:

Pros & Cons

Kagi

Pros

Completely ad-free and private search experience
Highly customizable search results with up/downranking and lenses
Integrated AI Assistant provides access to a wide range of LLMs
Offers specialized tools like Kagi Translate and Summarize
Fair pricing policy with credits for unused months
Available across web, mobile, and browser extensions

Cons

Requires a paid subscription for full functionality beyond the trial
AI Assistant usage is subject to a fair use policy based on token cost
Some advanced AI models are exclusive to higher-tier plans
No offline mode for search or AI features
May have a learning curve for advanced customization features

Algolia

Pros

Combines keyword, semantic, and behavioral AI for highly relevant results
Offers pre-built UI components and API clients for quick integration
Provides comprehensive analytics to track and optimize performance
Supports advanced features like A/B testing, personalization, and AI ranking
Robust global infrastructure with 70+ data centers and high uptime SLA
Strong security and compliance (GDPR, SOC 2 Type 2, ISO27001, CCPA)

Cons

Pricing for advanced features and higher usage can become significant
Elevate plan requires an annual contract
No explicit mention of offline mode
Requires technical expertise for full customization and API integration

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

Kagi

6.8

/ 10

Algolia

8.0

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Kagi

6.0

Algolia

7.0▲ +1.0

Output Quality

Quality and accuracy of generated results

Kagi

8.0

Algolia

9.0▲ +1.0

Value for Money

Cost vs. features and output quality

Kagi

7.0

Algolia

7.0

Customizability

Calculated

Ability to tailor to specific needs

Kagi

5.0

Algolia

9.0▲ +4.0

Support & Ecosystem

Documentation, community, and support quality

Kagi

7.0

Algolia

8.0▲ +1.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Kagi

8.0

Algolia

8.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

Kagi

Task

Algolia

8.0

Search Accuracy

9.0

7.0

Answer Extraction

8.0

Source Attribution

7.0

Real Time Indexing

8.0

Semantic Understanding

9.0

2.0

Multi Modal Search

3.0

9.0

Filter Refinement

8.0

9.0

Personalization

9.0

2.0

Content Detection

2.0

5.0

Knowledge Graph

6.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, Kagi or Algolia?

Both are strong options. Kagi has a rating of 0.0/5 (0 reviews), while Algolia has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is Kagi cheaper than Algolia?

Kagi starts at free (freemium model) with a free trial. Algolia starts at free (freemium model) with a free trial. Use the Cost Calculator above for a detailed estimate.

What are the main differences between Kagi and Algolia?

Kagi — "Liberate your search: free of ads, surveillance, and noise.". Algolia — "One AI retrieval platform to power agentic, generative, and search experiences". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Can I use Kagi and Algolia together?

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