Do I need relevance tuning or is basic search enough?

It depends on what “good enough” means for your users and how messy your content is.

Basic search is usually enough if:

• Your corpus is small or well-structured
• Users know the exact terms they’re looking for
• You have clean titles, tags, and metadata
• Search failures are tolerable
• You mostly need keyword lookup, not “best answer” retrieval

Relevance tuning is worth it if:

• Users complain they can’t find things even when the content exists
• The same query should return different results depending on intent
• You have a large or noisy index
• Synonyms, abbreviations, spelling variants, or domain jargon matter
• Click-through or conversion depends on ranking quality
• You want to optimize for business goals, not just matching words

Signs you should start with basic search

• You don’t yet have logs, feedback, or evaluation data
• The content collection is still changing a lot
• You haven’t identified common failure cases
• Search traffic is low

Signs you need tuning

• Important results are buried below irrelevant ones
• Head queries have poor satisfaction
• Users reformulate queries often
• You have enough traffic to measure improvements
• Different fields should matter differently (title > body, etc.)

Practical advice

Start with a solid baseline:

• good indexing
• stemming/synonyms if needed
• field boosting
• typo tolerance
• faceting/filtering

Then add tuning only if metrics show problems.

If you want, I can help you decide based on:

1. your content type,
2. search volume,
3. examples of bad queries/results,
4. whether this is e-commerce, docs, internal knowledge base, or app search.