How do you choose the right search tool?
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- elasticsearch
- Domain
- search
Research direction
Start by reading the README section that recommends Elasticsearch and the linked feature comparison table. Review the listed search tools against the stated e-commerce criteria; done would require an agreed recommendation or a concrete README update, neither of which the issue currently specifies.
Written by the indexing model from the issue text.
Description
I can see from the README that Elasticsearch is your proposed search tool. I am currently researching a new search tool for an e-commerce platform and wanting to learn about the good, the bad and the ugly of what's on offer.
The things I'm considering are:
- it can be paid for (but I will be weighing up value for money)
- it needs to be future-proof (ideally we don't want to replace this again in a few years time!)
- it needs to be relatively quick to set up (2-3 months) and not require large amounts of ongoing support
- it needs to have a business-facing UI so that merchandisers etc. can add new filters etc. without requiring an engineer
- it needs to offer a great user experience e.g. synonym detection, typo tolerance, personalisation of search results etc.
And this is where wading through 3rd parties starts to get a bit tougher because of the number of buzzwords out there and everyone trademarking their own 'unique' algorithm 🤯
Typesense have created this lovely feature comparison table which is the clearest representation I've seen so far.
It says of Elasticsearch:
Elasticsearch is a large piece of software, that takes non-trivial amount of effort to setup, administer, scale and fine-tune. It offers you a few thousand configuration parameters to get to your ideal configuration. So it's better suited for large teams who have the bandwidth to get it production-ready, regularly monitor it and scale it, especially when they have a need to store billions of documents and petabytes of data (eg: logs).
I've looked a little into Klevu, Constructor.io, Algolia and Typesense.
The questions in my head are:
- Is end to end vector search really worth paying for? (rather than keyword search)
- What makes these companies different from one another?
Any thoughts on any of the above would be greatly appreciated to help me choose the right search tool. I think that vector search certainly seems to offer some interesting potential for new features for the e-commerce site. However, with companies making their pricing so opaque, I'm trying to discern how much is worth paying for and what that cost will be!
@nelsonic, @SimonLab, @RobStallion, @samhstn, don't suppose you've got any thoughts on this one?
- Dominant language
- JavaScript
- Stars
- 291
- Forks
- 25
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
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- Comment on the issue to say you are picking it up — it saves two people doing the same work.
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