Knowledge Base AI Bots
Effortlessly integrate diverse enterprise data sources to enhance AI responses with the structured knowledge recall mechanism provided by RAG.
Encountered AI Challenges
Diverse Knowledge Sources
Efficient Knowledge Management
Enhancing Knowledge Value
Optimal Knowledge Architecture
Our structure optimizes editing, generates Q&A efficiently for RAG architecture and LLM fine-tuning.
Improved Knowledge Retrieval
Improved knowledge recall is achieved through the structured storage method of "Q&A," enhancing the accuracy of retrieval processes.
Streamlined Bot Training
Refining Bot proficiency through chat history analysis and iterative "Q&A" refinement drives continuous performance enhancement.
Simplify LLM Fine-Tuning
Utilize the structured "Q&A" knowledge directly for LLM fine-tuning, simplifying the fine-tuning process.
Trusted by Growing Tech Companies
Powerful Knowledge Embedding
Quality Knowledge Embedding Model
Access the world's leading embedding model for superior semantic matching of knowledge, ensuring accuracy and relevance.
Mixed Retrieval Mode
Dense + Sparse Vector Retrieval Enhanced accuracy through combined vector and keyword search.
Vector Retrieval Analysis
Knowledge Retrieval Test Assess the effectiveness of knowledge retrieval by conducting direct tests.
Secure Knowledge Storage
Zeppeli.ai employs cutting-edge technologies like transmission encryption, security encryption, and account data isolation to maintain your data in a highly secure state. With multiple backups and robust cloud platforms, we guarantee rock-solid data security. Choose us for peace of mind and unwavering trust in your data's safety.