Search
We build search and discovery systems , from classic relevance tuning to AI retrieval , that return the right answer fast, at any scale.
- 20+
- languages
- <300ms
- query latency
- 100M+
- documents indexed
What we build for you
Specific deliverables we engineer for this sector.
Semantic & vector search
Hybrid retrieval combining keyword, dense vectors and re-ranking — results that understand intent, not just keywords.
RAG knowledge bases
Retrieval-augmented generation over your own data with citations, grounding and hallucination prevention.
Real-time event search
Distributed ingestion and indexing pipelines that make new data searchable in milliseconds.
Personalised discovery
Recommendation engines that learn user preferences and surface content before they know to ask for it.
The challenges
- Relevance that breaks down as content and languages grow.
- Sub-second latency over huge, constantly changing indexes.
- Understanding intent, not just matching keywords.
How we help
- Hybrid search blending keyword, vector and re-ranking.
- Distributed indexing engineered for low latency at scale.
- Semantic retrieval grounded in your own data.
How we deliver
Our battle-tested approach, adapted to this industry's constraints.
- 01
Data & content audit
We map your data sources, assess quality and define the relevance signals that will drive ranking.
- 02
Index & retrieval design
We select the right vector database, embedding models and ranking pipeline for your scale and latency.
- 03
Model selection & tuning
We evaluate embedding and generative models against your domain, then fine-tune or prompt-engineer for quality.
- 04
Quality evaluation & monitoring
Offline eval frameworks, A/B testing and relevance dashboards so search quality never silently degrades.
Selected work
A look at projects we've shipped in this space , real outcomes, production systems.
- Sahara AIAI
Multilingual semantic search across millions of documents.
RAGVectorMultilingual - DocuMindAI
Drop-in search with instant results, facets and typo tolerance.
RelevanceFacetsSpeed - FindIt Commerce
Personalised discovery that lifts engagement and retention.
PersonalisationMLAPIs - Sahara AIAI
Multilingual semantic search across millions of documents.
RAGVectorMultilingual - DocuMindAI
Drop-in search with instant results, facets and typo tolerance.
RelevanceFacetsSpeed - FindIt Commerce
Personalised discovery that lifts engagement and retention.
PersonalisationMLAPIs - Sahara AIAI
Multilingual semantic search across millions of documents.
RAGVectorMultilingual - DocuMindAI
Drop-in search with instant results, facets and typo tolerance.
RelevanceFacetsSpeed - FindIt Commerce
Personalised discovery that lifts engagement and retention.
PersonalisationMLAPIs
- LexiaAI
Legal research assistant with cited, grounded answers.
RAGLangChainVector - Pulse Search
Real-time log and event search across petabytes.
DistributedRealtimeSearch - Atlas IndexAI
Enterprise knowledge search across wikis and drives.
EmbeddingsConnectorsAI - LexiaAI
Legal research assistant with cited, grounded answers.
RAGLangChainVector - Pulse Search
Real-time log and event search across petabytes.
DistributedRealtimeSearch - Atlas IndexAI
Enterprise knowledge search across wikis and drives.
EmbeddingsConnectorsAI - LexiaAI
Legal research assistant with cited, grounded answers.
RAGLangChainVector - Pulse Search
Real-time log and event search across petabytes.
DistributedRealtimeSearch - Atlas IndexAI
Enterprise knowledge search across wikis and drives.
EmbeddingsConnectorsAI
Compliance & trust
Search systems handle sensitive queries and private data. Every pipeline we build is GDPR-compliant, audited, and designed to surface answers, not expose data.
Testimonials
What leaders in this sector say
Real outcomes from the teams we've partnered with.
“HIIS built a multilingual semantic search engine across 20+ African languages using RAG, OpenAI and a vector pipeline, sub-300ms over 100M+ documents.”
Olivier NkurunzizaFounder · Sahara AISearch“Their retrieval stack, LangChain with embeddings and re-ranking, gave us grounded answers and citations we can trust. Hallucinations are effectively gone.”
Hannah WeberHead of AI · DocuMindSearch“Drop-in site search with instant results and typo tolerance. Relevance held up beautifully as our catalogue grew tenfold.”
Raj PatelChief Technology Officer · FindIt CommerceSearchHave a project in mind?
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