With the introduction of OpenAI’s ChatGPT, Generative AI has become more contemporary with business world prompting myriad applications and use cases of this technology. Generative AI technology has the potential to permeate almost all aspects of our lives and businesses. As the technology found its way to smartphones, web applications and PCs alike the demand for developing Generative AI based applications are rising with each successive day.
Google’s Vertex AI is helping developers building Generative AI applications faster and better with its unique set of tools and years of development with other AI applications. Many developers are engaged in the developing Generative AI applications for enterprises and one of the most important aspects of developing these applications is grounding. Grounding is nothing but telling these Generative AI based applications to access reliably the enterprise data in order to generate responses which are accurate and consistent.
While developing these applications developers are facing some issues and with the detailed feedback about the types of problems the developers are facing, Google has come up with new API’s (Application Programming Interfaces) and some improvements over the existing API’s to address these challenges and optimize the performance for developers.
There are total six new developer APIs that Vertex AI has launched to the developers:
- Document Understanding APIs
As most of the enterprise applications have to process large amounts of documents with different size and formats. Each document has its own unique structure with different sections and graphs, creating problems for information retrievals and relevant answer generation. In order to minimize the hurdles of information retrieval, this API is using Google’s insights from DocAI to understand document structure better, helping the quality of information processing for enterprise applications.
- Improved version of Embedded API
Google already has Gecko model which has been further fine-tuned to make it the best performing in the market.
- Vector Search
Vector search is apparently the most performant, scalable and cost efficient applications for embedded information retrieval. With the current launch, it allows for hybrid search to give extra tool to the developers greatly enhancing application quality.
- Ranking API
This API is the one which defines the accuracy of the information retrieved for your search. When you search for your question, Ranking API starts analyzing the responses you get for your question and ranks them based on the how good or how relevant the results are for your search. This helps in getting the most relevant and comprehensive information for your search from your LLM Model.
- Grounded Generation API
Grounded Generation API is using the power of Gemini to direct the search query to well researched answers with citations. (Apparently as mentioned in our previous blog Perplexity AI search engine is also doing the same by giving citations and references for your answers to the search queries.)
- Check Grounding
It uses fact checking mechanism for a particular statement against a number of facts. Check Grounding is making sure to check any human or Large Language Model statement against all the evidence and data points you provide to it.
These six APIs stand out for their quality as it being uncompromising aspect to succeed while delivering any enterprise customer.
The other most important aspect that these six APIs bring with them is the deep insights from years of Google knowledge base of developing different relevant applications and processing huge amount of data which has been embedded into these APIs. Google’s unparalleled experience has been used in addressing not only frequently encountered problems by developers but also problems that are big enough and unique enough to be resolved.
For example Document Understanding API has been with the years of knowledge Google gained on development and processing of Document AI. Google understands of what kind of processing needs to be done in order to have high performing search. Also Vector Search API is based on the same technology used most frequently in Google’s most used applications like YouTube and Google Ads. In case of Ranking API and Grounded Generation API which are effectively implementing concepts that are already available with Google consumer product website and also for giving generative responses for results.