Description:

Combine Elasticsearch's search relevance (BM25 + Semantic Search) with OpenAI's ChatGPT's question-answering capabilities to query your private/proprietary data.

Despite the incredible potential of ChatGPT, there are certain limitations like -

• Knowledge cutoff date
• Lacks access to relevant information
• Lack of knowledge about domain-specific content

In this session, We will learn how to connect ChatGPT to proprietary data stores using Elasticsearch and build question/answer capabilities for your data. In a demo, I will show you how you can quickly convert your website, FAQ, or any documentation in prompt chat where your user can directly ask a question on your data. The entire interface will be built on python.

Prerequisites:

1. You have used ChatGPT :)
2. Good to have understanding around Elasticsearch (Not mandatory)

Speaker Info:

Having experience in Software & Email Industry. Currently, I am working as a Senior Developer Advocate, India at Elastic. Started journey with Software Engineer. Throughout the journey, I got the opportunity to work with great minds on various stacks, databases & programming languages. Worked with various types of use cases and contributed to the solutions. I have been wearing multiple hats as a startup guy so got a chance to work on system design, scaling, system architect, coding, maintenance, customer support, etc. It was not just tech but also marketing & Community engagement.

Nowadays playing around GenAI and Semantic search :)

Speaker Links:

Website - ashish.one.
LinkedIn - ashishtiwari93.
Twitter - @_ashish_tiwari.
Github - ashishtiwari1993.