Legal, Compliance & Policy Teams
Search across contracts, policies, and case files by meaning — surfacing the right clause even when the wording doesn't match exactly.
Smart Search & Document Intelligence
We build AI-powered search and document intelligence systems that let your team find answers across contracts, manuals, tickets, and reports in seconds — with semantic search that understands meaning, not just keywords.
Semantic & keyword hybrid searchDocument understanding & summarisationEnterprise knowledge base search
Who we build for
Who We Build Smart Search & Document Intelligence For
When the answer exists somewhere in your files but nobody can find it, that's a search problem AI can solve. We build semantic search and document intelligence tools that understand what people mean — not just what they typed.
Internal Knowledge & Support Teams
Give agents and employees one search bar that actually finds answers across wikis, tickets, manuals, and shared drives.
Enterprises with Large Document Archives
Make years of PDFs, reports, and records searchable and summarisable — without manually tagging or re-organising anything.
Platforms with Large Catalogues or Listings
Semantic search that understands intent — so 'warm winter jacket under $100' returns the right results, not just keyword matches.
Why Chayaniq for smart search
Smart Search & Document Intelligence Benefits
Search should understand what people mean, not just what they typed. Here is what we build to make your documents and data instantly findable.
Semantic Search Implementation
Search that understands meaning and context — so queries return the right results even with different wording.
Document Understanding & Summarisation
Automatically summarise long documents and extract key points — so people get answers without reading the whole file.
Unified Knowledge Base Indexing
Index content from wikis, drives, tickets, and databases into a single searchable layer — no more searching five tools.
Natural Language Q&A Interface
Let people ask questions in plain English and get direct answers — with source documents linked for verification.
Permission-Aware Search Results
Search results respect existing access controls — people only see what they're already permitted to see.
Search Relevance Tuning
Ongoing tuning based on real query data — so the most useful results keep rising to the top.
Industries we serve
Smart Search & Document Intelligence Across Industries
Knowledge bases look different across industries — case files, product catalogs, technical manuals, policy documents. We build search and document intelligence tuned to your content.
Remote patient monitoring
- Real-time collection of wearables data
- Enhanced doctor-patient communication
- Comprehensive view of patient health data
- Data-driven report generation
- Seamless integration with existing systems
- Improved patient outcomes
Electronic medical records (EMR)
- Interoperability of medical data across departments
- HIPAA / GDPR compliant solutions
- Improved patient care
- Quick access to patient records, vitals, and lab results
- Enhanced security and privacy of patient health data
Document management
- Compliant documentation workflow
- Streamlined management of health information
- Integrations with existing systems for a 360° data view
- Secure file sharing and access management
Insurance verification
- Automated medical insurance eligibility
- Proactive identification of coverage issues
- API-ready and HIPAA-compliant
How we work
Our Process for Smart Search & Document Intelligence Delivery
Search projects succeed or fail on relevance — so we tune against your real queries, not generic benchmarks.
Discovery & Content Audit
We catalogue your content sources and review existing search logs to understand what people are actually looking for.
Indexing Architecture
We design the indexing pipeline — semantic, keyword, or hybrid — and connect your content sources.
Build & Q&A Interface
Search and natural-language Q&A interfaces built with permission-aware access controls from the start.
Relevance Testing
We test against real queries and tune ranking until results match what users actually expect.
Phased Rollout
Rolled out to a pilot group first, with feedback collection before a full rollout.
Relevance Monitoring
Ongoing query analysis and relevance tuning based on real usage patterns.
How we build smart search & document intelligence
Search should understand what people mean, not just what they typed. We build semantic search and document intelligence that makes your content instantly findable.
Search that understands meaning and context — so queries return the right results even with different wording.
- Vector and hybrid semantic search
- Natural language query understanding
- Relevance tuning based on real query data
Our stack
Our Smart Search & Document Intelligence Technology Stack
Semantic search, document understanding, and indexing tools — connected to the places your content already lives.
Semantic Search
- Elasticsearch
- OpenSearch
- pgvector
- Pinecone
Document Understanding
- AWS Textract
- Google Document AI
- LLM summarisation
LLMs & Embeddings
- Anthropic Claude
- OpenAI GPT
- Open-source embeddings
Knowledge Sources
- Confluence / Notion
- Google Drive
- Ticketing systems
- Databases
Evaluation
- Relevance eval suites
- Query analytics
Compute & Hosting
- AWS Lambda
- Docker
- Redis
Perspectives
Ideas that pair with Smart Search & Document Intelligence
Short reads from how we ship—architecture, product, and ops. Same themes as this service, different angles.
March 2026
Semantic Search 101: Why Keyword Search Isn't Enough Anymore
Embeddings, hybrid search, and re-ranking explained — and when keyword search is still the right tool for the job.
Continue readingFebruary 2026
Turning Your Internal Wiki Into an AI-Powered Knowledge Base
Confluence, Notion, and shared drives all become more useful when you can ask them questions. Here's how to build that layer.
Continue reading
