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[Denys Linkov](https://www.linkedin.com/in/denyslinkov/), Machine Learning Team Lead at Voiceflow, explained the journey of building a managed RAG solution. "Initially, our product focused on users manually defining steps on the canvas. After the release of ChatGPT, we added AI-based responses, leading to the launch of our managed RAG solution in the spring of 2023," Linkov said.
As part of this development, the Voiceflow engineering team was looking for a vector database solution to power their RAG setup. They evaluated various vector databases based on several key factors:
As part of this development, the Voiceflow engineering team was looking for a [vector database](/qdrant-vector-database/) solution to power their RAG setup. They evaluated various vector databases based on several key factors:
- **Performance**: The ability to handle the scale required by Voiceflow, supporting hundreds of thousands of projects efficiently.
- **Performance**: The ability to [handle the scale](/documentation/guides/distributed_deployment/) required by Voiceflow, supporting hundreds of thousands of projects efficiently.
- **Metadata**: The capability to tag data and chunks and retrieve based on those values, essential for organizing and accessing specific information swiftly.
- **Managed Solution**: The availability of a managed service with automated maintenance, scaling, and security, freeing the team from infrastructure concerns.
- **Managed Solution**: The availability of a [managed service](/documentation/cloud/) with automated maintenance, scaling, and security, freeing the team from infrastructure concerns.
*"We started with Pinecone but eventually switched to Qdrant,"* Linkov noted. The reasons for the switch included:
- **Scaling Capabilities**: Qdrant offers a robust multi-node setup with horizontal scaling, allowing clusters to grow by adding more nodes and distributing data and load among them. This ensures high performance and resilience, which is crucial for handling large-scale projects.
- **Scaling Capabilities**: Qdrant offers a robust multi-node setup with [horizontal scaling](/documentation/cloud/cluster-scaling/), allowing clusters to grow by adding more nodes and distributing data and load among them. This ensures high performance and resilience, which is crucial for handling large-scale projects.
- **Infrastructure**: “Qdrant provides robust infrastructure support, allowing integration with virtual private clouds on AWS using AWS Private Links and ensuring encryption with AWS KMS. This setup ensures high security and reliability,” says Portillo Edo.
- **Responsive Qdrant Team**: "The Qdrant team is very responsive, ships features quickly and is a great partner to build with," Linkov added.
## Migration and Onboarding
Voiceflow began its migration to Qdrant by creating backups and ensuring data consistency through random checks and key customer verifications. "Once we were confident in the stability, we transitioned the primary database to Qdrant, completing the migration smoothly," Linkov explained.
Voiceflow began its migration to Qdrant by creating [backups](/documentation/cloud/backups/) and ensuring data consistency through random checks and key customer verifications. "Once we were confident in the stability, we transitioned the primary database to Qdrant, completing the migration smoothly," Linkov explained.
During onboarding, Voiceflow transitioned from namespaces to Qdrant's collections, which offer enhanced flexibility and advanced vector search capabilities. They also implemented Quantization to enhance data processing efficiency. This comprehensive process ensured a seamless transition to Qdrant's robust infrastructure.
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- **Optimized Performance**: Resolved concerns about retrieval times with a high number of tags by optimizing indexing strategies, achieving efficient performance.
- **Minimal Operational Overhead**: Experienced minimal overhead, streamlining their operational processes.
- **Future-Ready**: Anticipates further innovation in hybrid search with multi-token attention.
- **Multitenancy Support**: Utilized Qdrant's efficient and isolated data management to support diverse user needs.
- **Multitenancy Support**: Utilized Qdrant's efficient and [isolated data management](/documentation/guides/multiple-partitions/) to support diverse user needs.
Overall, Qdrant's features and infrastructure provided Voiceflow with a stable, scalable, and efficient solution for their data processing and retrieval needs.
## What’s Next
Voiceflow plans to enhance its platform with more filtering and customization options, allowing developers to host and customize chatbot interfaces without building their own RAG pipeline.
Voiceflow plans to enhance its platform with more filtering and customization options, allowing developers to host and customize chatbot interfaces without building their own [RAG](/rag/) pipeline.