Tengence Search
Tengence Search is a next-generation intelligent search product built for business growth in the AI era. Powered by years of industry data foundations, cutting-edge LLM and deep learning technology, plus battle-tested industry best practices, we deeply understand user intent and behavior to match precise content with the right users — true one-to-one personalized reach.
We build an intelligent search product that is easy to adopt, high-performance, precisely controllable, and exceptionally cost-effective — backed by full-dimensional visual reports, flexible operational intervention capabilities, dedicated tuning services and deep customization. Tengence Search becomes the core engine that helps enterprises lift traffic conversion and drive sustained business growth in the AI era.
Product advantages
Out of the box
Zero-code: embed pre-built components into your pages
No tracking setup: behavioral data collected automatically
No ops: auto scaling out of the box
Ultra performance
Handles 100M+ daily PV traffic spikes
P95 response time of 80ms
Real-time full-funnel data updates
White-box tuning
End-to-end visual configuration
Expert-grade deep parameter tuning
Real-time online debug logs
Deep algorithmic capabilities
Built-in multiple intent recognition capabilities
Industry best practices in algorithm tuning
Auto iteration based on data performance
Full-funnel reporting
Core metrics updated in real time
Comprehensive monitoring with auto alerts
Automatic slow-query analysis
Fully operable
Turn business ideas into reality fast
Full-funnel A/B testing
Rich business operational intervention controls
Feature comparison
| Feature | Tengence Search | Algol*a | Alib*b*a Cloud OpenSearch | Unb*d | Op*nSearch | Elast*csearch | |
|---|---|---|---|---|---|---|---|
| Search guidance page component |  | | / | / | / | / | |
| Search results page component | | | / | / | / | / | |
| Behavioral data | Self-managed collection | | | | / | / | / |
| Automatic collection | | | / | / | / | / | |
| Effect preview | | | / | | / | / | |
| Dropdown suggestions | Built-in model | | | | | / | / |
| Self-trained model | | | / | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Hot words | Built-in model | | / | | / | / | / |
| Self-trained model | | / | / | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Search box default word (placeholder) | Built-in model | | / | | / | / | / |
| Self-trained model | | / | / | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Search history | Standard implementation | | / | / | / | / | / |
| Related searches | Built-in model | | / | / | / | / | / |
| Self-trained model | | / | | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Normalization | Standard implementation | | | | / | / | / |
| Tokenization | Built-in model | | / | | / | / | / |
| Self-trained model | | / | | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Stop words | Standard implementation | | | | | / | / |
| Spell correction | Built-in model | | | | | / | / |
| Self-trained model | | / | / | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Synonyms | Built-in model | | | | | / | / |
| Self-trained model | | | / | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Named entity recognition | Built-in model | | | | | / | / |
| Self-trained model | | / | / | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Category prediction | Built-in model | | | | | / | / |
| Self-trained model | | / | / | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Term weighting | Built-in model | | / | | / | / | / |
| Self-trained model | | / | / | / | / | / | |
| Custom model | | / | / | / | / | / | |
| Inverted-index recall | | | | | | | |
| Multi-channel recall | | / | | / | / | / | |
| AI semantic recall | | / | | / | | | |
| Coarse-ranking formula | | / | | / | | | |
| Coarse-ranking model | Built-in model | | / | | | / | / |
| Self-trained model | | / | | / | / | / | |
| Custom coarse-ranking model | | / | / | / | / | / | |
| Fine-ranking formula | | / | | / | | | |
| Fine-ranking model | Built-in model | | | | | / | / |
| Self-trained model | | | | / | / | / | |
| Custom fine-ranking model | | / | / | / | / | / | |
| Pinned results | | | / | | / | / | |
| Rule-based blocking | | | / | / | / | / | |
| Direct search access | | | / | | / | / | |
| Result diversification | | | / | / | / | / | |
| Weighted ranking | | | / | / | / | / | |
| Data source sync | | | | / | / | / | |
| Real-time data push | | / | / | / | / | / | |
| Standard reports | | | | | / | / | |
| No/low-result reports | | | / | | / | / | |
| Slow-query reports | | / | | / | | | |
| Conversion attribution reports | | / | / | / | / | / | |
| A/B testing reports | | | / | | / | / | |
| Self-service | Self-service debugging | | | | / | | / |
| Diagnostic reports | | / | / | / | / | / | |
| AI customer support | | / | | / | | / | |
| Expert service | Issue diagnosis | | / | | / | | / |
| Effect tuning | | / | | / | | / | |
| Performance tuning | | / | | / | | / | |
| Dedicated service | Dedicated account manager | | / | | / | | / |
| Dedicated service group | | / | | / | / | / | |
| Custom development | | / | / | / | / | | |
| Private deployment | | / | / | / | / | | |
| Project-based engagement | | / | / | / | / | / | |
Success stories
A leading cross-border e-commerce platform
Operating in 10+ countries, infrastructure costs across multiple sites were climbing; multi-language search made intent recognition hard, and multi-currency price calculations often caused mismatches between search results and product pages. With Tengence Search, multi-site problems were solved at once: rich intent recognition tackled tokenization, synonyms, correction, entity recognition and category prediction one by one, while real-time search results were fixed — driving ~10% quarterly GMV growth
A well-known tech community
With millions of daily PV across blog articles, forum posts, Q&A, and paid knowledge products, each content type needed better search — and a unified combined result. Optimizing for CTR, Tengence Search improved tokenization, synonyms, correction, entity recognition and term weighting in the intent stage, tuned multi-channel recall fusion, and refined the overall ranking — lifting CTR from 3.6% to 5.3%
A leading electronic components trading platform
Faced with extremely complex and diverse component model matching. New models keep emerging — an open-ended matching problem that traditional databases can't handle. With Tengence Search, we made targeted optimizations to entity recognition, synonyms and correction, trained dedicated deep learning models, and built flexible intervention controls — reaching 93% model-match accuracy with a significantly better user experience
A leading e-commerce platform's social commerce feed
The feed mixes short videos, images and text, with the goal of maximizing dwell time by delivering precisely matched content. With Tengence Search, we trained semantic vector models on multimodal content in the recall stage, optimized semantic and inverted-index recall, and trained ranking models against the user-tag system for granular content-user understanding — delivering one-to-one personalization and ~16% higher dwell time
Plans and scenario matching
Free
¥ 0
Zero-cost entry — built for individual developers, product validation, and small online stores with standard search needs
Zero-cost entry: intelligent search, free
Zero-code onboarding: simple setup, fast integration
Full-featured search: standardized capabilities for common scenarios
Built-in industry-grade algorithms: domain data and algorithm tuning for e-commerce and content
A personal blog website
343 articles, ~3,000 daily PV, fewer than 1,000 daily searches — using Tengence Search's content-industry solution to get intelligent search capabilities for free
Tengence Search
Free
30K requests/mo
0.5GB
Algol*a
Build
30K requests/mo
343 records
Alib*b*a Cloud OpenSearch
Shared general
1GB storage
200 LCU compute
Op*nSearch
t2.medium.search
2 vCPU
4GB RAM
Unb*d
-
A personal store on a well-known C2C marketplace
459 listed products with some promotion — daily PV around 6,000, fewer than 2,000 daily searches. Using Tengence Search's e-commerce solution to gain efficient traffic conversion for free
Tengence Search
Free
60K requests/mo
0.5GB
Algol*a
Build
60K requests/mo
459 records
Alib*b*a Cloud OpenSearch
Shared general
4GB storage
200 LCU compute
Op*nSearch
m7i.large.search
2 vCPU
8GB RAM
Unb*d
-
Book a sessionand get a solution tailored to your business
Our consultants will call you back with a business-scenario solution and arrange a product demo and POC validation.
E-commerce product / order / store / seller / review search
Cross-border multi-site / multi-region search platform
Feed / multimedia / short-video / image-text community search
Knowledge community / blog / forum / content search
Enterprise multi-line business search platform
Enterprise knowledge management platform / internal search engine
Big-data query acceleration / data analytics / time-series databases
Vector DB / RAG / image search / semantic vector retrieval
