Nbliq-X1 is a 7B parameter causal language model designed for AI search, conversational intelligence, retrieval-augmented answering, multilingual support, and enterprise knowledge discovery.
The model is optimized for RAG-based response generation, allowing it to retrieve relevant information from large embedded knowledge stores before producing answers. This makes Nbliq-X1 suitable for AI search engines, private knowledge assistants, enterprise chatbots,support agents, learning masters, and real-time question-answering systems.
| FIELD | DETAILS |
|---|---|
| Model Name | Nbliq-X1 |
| Model Type | Causal Language Model |
| Architecture | Transformer-based |
| Parameters | 7B |
| Training Status | Pretraining and post-training for RAG workflows |
| Context Length | Up to 64K tokens |
| Primary Language | English |
| Additional Language Support | Hindi, Malayalam, German, French, Spanish, and selected multilingual support |
| Knowledge System | RAG-based retrieval with embedded data |
| Embedded Data Scale | Around 4 TB of embedded knowledge data |
| Public Availability | No, private model |
Nbliq-X1 is designed to support:
AI-powered web search responses
Retrieval-augmented generation
Enterprise knowledge search
Long-context question answering
Multilingual AI conversations
Summarization and explanation
Document-based reasoning
Private AI assistant workflows
Search result interpretation
Structured response generation
Nbliq-X1 can be used for:
AI search engines
Enterprise RAG assistants
Internal knowledge-base chatbots
Customer support automation
Document Q&A systems
Research assistants
Multilingual AI answering systems
Secure private AI deployments
NbliqAI by Airoglobal offers
powerful AI tools to help businesses
automate, innovate, and grow
efficiently. Explore our suite of free
and advanced AI solutions designed
for every industry.
, Airo Global Software Pvt Ltd. All Right Reserved.