Retrieval Augmented Generation (RAG) Without a Vector Database

In this insightful session, Sid, a seasoned expert in search and natural language processing, delves into the possibilities of Retrieval Augmented Generation (RAG) without relying on a vector database. If you've been exploring RAG for your enterprise but are concerned about the complexities and costs associated with vector databases, this presentation offers a compelling alternative.
Key topics covered in this session include:
- Introduction to RAG: Understand the basics of Retrieval Augmented Generation and how it traditionally involves vector databases for generating contextually accurate responses.
- RAG Without Vector Databases: Sid explains how you can achieve effective RAG implementations by leveraging existing search technologies and infrastructure, eliminating the need for additional database models.
- Swirl Meta Search: Learn about Swirl, an innovative open-source meta search engine developed by Sid, designed to securely connect enterprise generative AI systems to internal data sources, enabling efficient and scalable RAG without the overhead of vector databases.
- Real-World Applications: Explore practical examples of Swirl in action, from finding specific information within internal documents to answering complex questions by integrating data from multiple sources like OneDrive, Outlook, and structured databases.
- Security and Compliance: Discover how Swirl maintains security and compliance by leveraging existing enterprise authentication systems (like SSO, OAuth) and ensuring that only authorized users access the data.
- Omni-Channel Support: Sid demonstrates how Swirl enables conversations across multiple platforms (e.g., Microsoft Teams, custom UIs) while maintaining context and providing accurate, real-time insights.
- Comparisons and Benefits: Understand the differences between Swirl and other enterprise search tools, like Glean, and why Swirl’s approach may be more suitable for organizations needing on-premises solutions without data duplication.
About the Speaker:
Sid has an extensive background in search technology and natural language processing, having worked with major companies like Microsoft and ServiceNow. His expertise is now focused on helping enterprises securely and efficiently implement generative AI solutions without the need for complex new infrastructure.
Additional Resources:
Explore Swirl on GitHub to dive into the code and contribute to the project.
Read more about meta-search and its applications to understand more about its use cases and functionalities.
Connect with Sid on LinkedIn to network and learn more about his expertise.
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