Exa
Greptile
| Feature | Exa | |
|---|---|---|
| Pricing | Free / from $100/mo | Free / from $100/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.2 / 5 | 4.2 / 5 |
| Best For | ai-developers, researchers, data-scientists, startup-builders | developer-tool-builders, engineering-teams, code-review, onboarding-new-developers |
| Founded | 2022 | 2023 |
| Neural Search | ✓ | ✗ |
| Content Retrieval | ✓ | ✗ |
| Similarity Search | ✓ | ✗ |
| Filtering | ✓ | ✗ |
| Auto Search | ✓ | ✗ |
| Api Access | ✓ | ✓ |
| Codebase Indexing | ✗ | ✓ |
| Natural Language Queries | ✗ | ✓ |
| Code Review | ✗ | ✓ |
| Documentation Generation | ✗ | ✓ |
| Multi Repo | ✗ | ✓ |
| Context Retrieval | ✗ | ✓ |
✓ Exa Pros
- Semantic search beyond keywords
- Clean API for developers
- Returns full page content
- Excellent for AI agent use cases
✗ Exa Cons
- Developer-focused - no consumer product
- Free tier has limited requests
- Results can be unpredictable
✓ Greptile Pros
- Deep semantic understanding of entire repositories
- API-first for embedding in your own tools
- Supports private repos across GitHub, GitLab, Bitbucket
- Answers questions about code architecture and logic
✗ Greptile Cons
- API-only (no standalone consumer product)
- Indexing time for large repos can be slow
- Limited language/framework support for newest tech
The Verdict
Exa is built for ai developers and researchers, with a focus on neural-search and content-retrieval. Greptile targets developer tool builders and engineering teams and leads with codebase-indexing and natural-language-queries.
Both tools come in at similar price points ($100/mo for Exa, $100/mo for Greptile), so pricing won't make the decision for you.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Greptile offers broader built-in capabilities (7 features vs 6), while Exa takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.