Embark on a journey to craft a tailored RAG solution, leveraging the power of OpenSearch. Discover the art of deploying a privacycentric, opensource RAG system, fortified by Langchain and OpenSearch, ensuring data confidentiality while meeting your unique needs.

The RAG systems, such as Microsoft's Copilot and Google's Bard, are playing an increasingly crucial role in our digital daily lives, used every day by hundreds of millions of users.

As these giants compete for supremacy in the field of artificial intelligence, is there an emerging path towards an opensource RAG system that respects data privacy?

This presentation aims to answer this question by exploring the use of the Langchain library and OpenSearch as vector databases.

We will begin with a quick analysis of the foundations of the RAG architecture. Then, we will focus on the implementation, also examining other alternatives to Langchain and OpenSearch.

Finally, we will conclude by presenting the operation of a fully opensource and local RAG system within a concrete use case.

Speaker:
Aline Paponaud – https://opensearch.org/community/memb...
Pietro Mele – https://opensearch.org/community/memb...

More: https://opensearch.org/events/opensea...

OpenSearch is a communitydriven, opensource search and analytics suite used by developers to ingest, search, visualize, and analyze data.

Learn more at:
Website: https://opensearch.org
Forum: https://forum.opensearch.org
GitHub: https://github.com/opensearchproject/
LinkedIn:   / opensearchproject