Softment Gig
AI Hybrid Search Upgrade (Vector + Reranker)
Upgrade your search with hybrid retrieval and reranking—measured with eval sets and tuned for latency.
Top Rated on Fiverr • Upwork
Softment Gig
AI Hybrid Search Upgrade (Vector + Reranker)
Upgrade your search with hybrid retrieval and reranking—measured with eval sets and tuned for latency.
Best for: doc search • marketplaces • catalogs • knowledge bases
Includes: source code + handoff notes + Performance checks
Description
AI Hybrid Search Upgrade (Vector + Reranker) (Production-ready)
If search results feel random, we can fix it. We implement hybrid retrieval with reranking and evaluation sets so relevance improves measurably—then tune latency, caching, and indexing to keep UX fast.
Basic
Search audit + POC
Standard
Hybrid + rerank + evals
Premium
Production rollout + monitoring
What you get
- Search audit + quick wins report
- Small hybrid retrieval POC
- Eval set starter (10-20 queries)
- Hybrid retrieval implementation
- Reranking integration
- Eval harness + regression checks
- Latency tuning recommendations
- Production rollout plan + hardening
What we need from you
- Current search stack + constraints
- Representative content/docs dataset
- Sample queries + expected relevance
- Latency/UX targets
Packages
Choose the scope that fits
Basic
$300
Timeline: 2-3 days
- Search audit + quick wins report
- Small hybrid retrieval POC
- Eval set starter (10-20 queries)
Standard
$900
Timeline: 7-10 days
- Hybrid retrieval implementation
- Reranking integration
- Eval harness + regression checks
- Latency tuning recommendations
Premium
$1,800
Timeline: 2-4 weeks
- Production rollout plan + hardening
- Indexing + freshness pipeline basics
- Monitoring hooks + runbook
- Post-launch iteration notes
Explore
Plan your next step
If you need more than a fixed-scope package, these pages help you choose the right approach and scope a safe rollout.
FAQ
Common questions before you buy
Do we need a vector database to do this?
Often, yes. We can use pgvector for smaller workloads or dedicated vector DBs for scale—final choice depends on your data size and latency targets.
Can you measure relevance improvements?
Yes. We build eval sets and basic metrics so improvements are measurable and regressions are caught early.
What happens after I place an order?
We review your scope, confirm deliverables, and send kickoff details within 24 hours.
Can I upgrade from Basic to Standard or Premium later?
Yes. You can start with any tier and upgrade when scope expands.
Do you provide source code and handover notes?
Yes. Every package includes source delivery and practical handover context.
How do revisions work?
Revisions are handled within the defined package scope. Out-of-scope requests are quoted separately.
Can you sign an NDA before kickoff?
Yes. We can work under a mutual NDA before project details are shared.
Do you support ongoing maintenance after delivery?
Yes. We can continue with maintenance, enhancements, and support after handoff.
Do package prices include third-party service costs?
No. Any external platform fees are billed directly by those providers.
Can this package be customised for my requirements?
Yes. If your scope is larger, use Talk to us and we will provide a custom estimate.
Need custom scope?
Talk to us before checkout
If your scope is larger than a package, we'll map a custom estimate and timeline.