Semantic/Vector Search and RAG for unstructured data

ChatBees delivers a comprehensive Retrieval-Augmented Generation (RAG) solution for your unstructured data.

- **Cloud-Native Vector Database**
- **Flexible Embedding models** - bring your own industry or language model
- **Automatic Parsing and Indexing** - simply import unstructured data directly from your data lake
- **Search, Chat, Summarize** - interact with your data through natural language
- **Stay in control of your data** - leveraging ChatBees and Snowflake’s robust security posture

ChatBees simplifies RAG deployment for organizations of all sizes. It processes documents in multiple languages while supporting various embedding and completion models, including custom embedding models from Hugging Face. Thanks to its cloud-native architecture, ChatBees eliminates the need for DevOps and EBS, allowing you to pause and restart operations anytime without data loss.

You retain complete control over your data location. ChatBees can either leverage Snowflake Cortex LLM to maintain all data within Snowflake or securely integrate with third-party LLM providers according to your defined access policies.