The Platform for Retrieval Augmented Generation
Everything you need for a better RAG pipeline
- Retrieval Data Platform
A hassle-free retrieval service platform with easy-to-manage data sources.
- Intelligent Retrieval Agents
Specialized retrieval agents equipped for your complex LLM tasks.
- Improved Embedding Model
Embedding model evaluation, selection and fine-tuning service for your data.
Easy-to-Manage Data Sources
Retrieval Data Platform
Unlock easy-to-manage retrieval data management service with our platform. Simplify your processes and maintain data integrity at every step.
Hassle-free Deployment
Retrieval API & SDK
Our API, coupled with a versatile Python SDK, empowers users to retrieve data effortlessly and integrate it seamlessly into your RAG workflows and AI applications.
- Retrieval API
- Experience fast and reliable data retrieval with our API. Ideal for seamless integrations and retrieve data on-demand.
- Python SDK
- Enhance your Python AI projects with our SDK. Simplified data retrieval, optimized for a seamless development experience.
import vectifyai as V
vc = V.Client(api_key='Vectify API key')
results = vc.retrieve(query='What is RAG?', top_k=5, sources=['my_source'])
Superior RAG Performance with Retrieval Agents
Advanced Retrieval Agents
In addition to the classic semantic search, our RAG platform integrates innovative state-of-the-art retrieval agents, offering superior accuracy and efficiency.
- Multi-strategy Retrieval Agent
- Our Multi-strategy Agent excels in handling complex queries, effectively re-ranking and merging multiple retrieved lists to deliver high-recall retrieval results with fewer context tokens.
- Semantic & Metadata Hybrid Search Agent
- By integrating detailed document-level metadata, our retrieval service is capable of processing natural language queries with a nuanced blend of semantic understanding and exact meatdata filtering.
Enhanced Performance with Customized Embedding Model
Embedding Model Evaluation and Fine-tuning
We provide a systematic solution for embedding models evaluation, selection and fine-tuning on your in-house data with or without labels, delivering significantly improved efficiency and accuracy with a big margin.
