Pluggable Semantic and Lexical search for Large Datasets

A pluggable search service which leverages Semantic Search and Generative AI to provide contextually relevant, semantically rich search results. Increase engagement, conversions, and revenue with fast & intelligent search.

Fast and easy data indexing of different external (customer) datasources (PG, S3 buckets, Web sites etc) into GDN vector store.

Indexing pipeline should be able to process both structured (json, html etc) and unstructured (text, pdf etc) text.

Quick search results based on semantic meaning of user query.

Support for advance search filters.

Asynchronous AI answer generation for the user query based on the search results

Leading the project from finalizing the requirements, designing & architecting to the deployment

Implementation of REST APIs and business logic for the search.

Implementation of AI answer generation.

Making indexing process highly customizable to cater different types of data (Wikis, Articles, product catalogues etc)

Improving and tuning performance based on different tests.

Documenting, deploying (with CICD) and maintaining the product in different kubernetes environments.