Quick verdict. Typesense and Meilisearch are excellent engines for developers who want speed and predictable cost without Elasticsearch’s complexity. Use them directly when you have developers to build the product logic. Use Xearch when you want spec, application and part-number understanding, a chat assistant and sales handover already done.
Engines versus products
Typesense and Meilisearch are search engines: you send them documents and queries, and they return ranked results fast. Xearch is a product: it decides how an industrial query should be interpreted, which attributes to filter, which parts are compatible, and when to hand a buyer to sales. The two aren’t mutually exclusive. A Typesense or Meilisearch index can be a solid foundation underneath a product layer.
Typesense
Typesense is an open-source, typo-tolerant search engine written in C++ that keeps its index in memory for very low latency. It installs as a single binary and offers faceting, filtering, synonyms, curation, geo search, vector and hybrid search, and conversational search (RAG) with built-in LLM integration. Typesense Cloud is priced by cluster configuration, not per search.
Pros
- Very fast, with simple operations
- Predictable cost: self-host free, or cloud priced by cluster
- Rich filtering for numeric ranges and facets
- Vector, hybrid and conversational search built in
- InstantSearch adapter for quick front ends
Cons
- Index held in RAM, so memory grows with catalog size
- Smaller ecosystem than Elasticsearch or Algolia
- Merchandising and analytics UIs are basic
- B2B logic (units, compatibility, handover) is yours to build
Meilisearch
Meilisearch is an open-source engine written in Rust, known for good relevance with minimal configuration. It supports typo tolerance, faceting, filtering, hybrid (keyword plus vector) search and multi-tenancy, with a hosted Meilisearch Cloud.
Pros
- Relevant results out of the box
- Very easy to set up and integrate
- Hybrid search and AI-powered features
- Active open-source community
Cons
- Cloud pricing changes have raised long-term cost questions for some users
- Fewer advanced ranking controls than larger platforms
- B2B logic is yours to build
Side by side
| Typesense | Meilisearch | Xearch | |
|---|---|---|---|
| Type | Open-source engine | Open-source engine | AI product search and sales assistant |
| Hosting | Self-host or Typesense Cloud | Self-host or Meilisearch Cloud | Managed by Xearch |
| Pricing model | Free self-host; cloud by cluster | Free self-host; cloud plans | Custom quote |
| Spec and unit understanding | Filters you build | Filters you build | Built in |
| Part-number compatibility | Data model you build | Data model you build | Built in |
| Chat and handover | RAG building blocks | Build with an LLM framework | Built in |
Ideal use cases
- Typesense: developer teams that want Algolia-like speed with predictable cost, including site search like the one on this website.
- Meilisearch: small teams that want good search quickly with minimal tuning.
- Xearch: manufacturers and distributors that want industrial buyers served correctly without building the product logic.
Want a custom Typesense build, or Xearch on top of one? Chat with an expert or see No Ifs Only Bots for implementation services.
Frequently asked questions
Is Typesense a good Algolia alternative?
For many teams, yes. Typesense is open source, very fast, typo-tolerant, easy to run as a single binary, and Typesense Cloud is priced by cluster size rather than per search, which makes costs predictable.
What is the difference between Typesense and Meilisearch?
Both are fast, developer-friendly open-source engines. Typesense keeps the index in memory for very low latency and offers features such as conversational search (RAG), vector and hybrid search, and geo search. Meilisearch emphasises relevance out of the box and ease of use, with hybrid search and a hosted cloud with usage-based plans.
Does this website use Typesense?
Yes. The site search on xearch.xyz is a custom Typesense implementation: pages are indexed into a Typesense collection and queried with a search-only key, with a static fallback index.
Can you build a custom Typesense search for us?
Yes. Our implementation partner No Ifs Only Bots builds custom Typesense search for ecommerce and content sites, and Xearch can sit on top as the AI product finder and sales assistant.
Sources
- Typesense conversational search (RAG) documentation
- The 7 best Algolia alternatives for site search in 2026 (Ringly)
- Typesense review (Meilisearch)
This comparison is written by the Xearch team and is based on vendors’ public documentation, announcements and independent reviews available at the time of review. Features and pricing change; confirm details with each vendor. All product names and trademarks belong to their respective owners.