Vertex AI Search and Conversation Reviews & Product Details

Google Cloud stands "tall" & proximity for the cutting-edge strong innovation enterprise integration with various services in Artificial Intelligence & Machine Learning intricacies, & data analytics capabilities with the services spanning across BigQuery, Cloud Functions, Google Kubernetes Engine, Google Workspace & Firebase etc.

There are enormous features - ease of use & implementation, user-friendly interface, & frequency of use is high due to the versatility of the platform in handling sophisticated workload, orchestration, data analysis, serverless computing, & customer support centric oriented with high-level documentation. Review collected by and hosted on G2.com.

Google Cloud could benefit from enhanced compatibility with legacy systems & non-Google applications, particularly by simplifying the process of custom configurations.

As a leading force in the cloud space, Google Cloud demonstrates innovative growth, a strong customer-centric approach, & a consistently reliable suite of products. Review collected by and hosted on G2.com.

What i really like about google cloud is how well it integrates with other google services, If you're already in google ecosystem for example using gmail, google workspace or bigquery. I used google cloud services daily and everything feels just seamless. The UI is clean and i expecially enjoy the speed and reliability of services like compute engine and cloud storage. Pricing is also very competetive. Even non technical person can use most of the services by google cloud, and for developer its very easy to integrate with. Review collected by and hosted on G2.com.

So the only thing i dislike about google cloud is its invoicing and the billing dashboard its very overwhelming. There are times when i could not identify the charges as the services for being i am charged is not clearly mentioned. Review collected by and hosted on G2.com.

There are many things that i like about Google cloud. It provides powerful AI tools and applications like vertex AI which is bit popular, and it provides a large network of data centers also. I find google cloud a bit cost effective compared to AWS and Azure.It is also good in security and privacy as in provides encryption.The user friendly interface makes the google cloud easy to use.Implementing is also not so difficult.I use this cloud platform regulary to track the usage and analyse it. Review collected by and hosted on G2.com.

The things I dont like about google cloud and feel it as a downside is, Trying to integrate any third part application or software to is very difficult and sometimes not possible and even though it is cost effective the pricing model is very complex ,so that it will be very difficult to estimate the price.I also feel it has less resources and not so good customer support compared to other cloud providers like AWS and Azure. Review collected by and hosted on G2.com.

All the free credits you receive when signing up. Review collected by and hosted on G2.com.

Hard to know where to start. There is so much available. Review collected by and hosted on G2.com.

Ease of integrating the documents as well as any storage like BigQuery and more recently CloudSQL and other data via API mecahnism. It does all the Vector embedding, Ranking, RAG all in the background and is pretty fast or the search results are instantaeous. Review collected by and hosted on G2.com.

The limited data integration capabilities. Limitation to have own the domain to enable search on it. Can't index 3rd party domain, which AWS Kendra allows with aceptable use policy. Review collected by and hosted on G2.com.

It is a unified platform that enables seamless integration with your products Review collected by and hosted on G2.com.

Data privacy and model bias are the 2 big issues that I have faced Review collected by and hosted on G2.com.

Cutomized conversation, tailored to one's needs making the responses relevant

Keeps learning and enhancing solutions Review collected by and hosted on G2.com.

Security conerns since it is connected to internal data systems Review collected by and hosted on G2.com.

Google's existing search performance is there, but also with Generative AI.

No-code solution, easy to start. Built in scraper so that you don't need to write any code at all and have a UI available already OOTB. Review collected by and hosted on G2.com.

The URL pattern matching, as well as how snippets are generated, is blackbox. Review collected by and hosted on G2.com.

Vertex AI Search has the ability to scale machine learning models and Pre build models.AutoML helps in automating some parts of Machine learning. Review collected by and hosted on G2.com.

Cloud based services will not connect if the internet connectivity is poor.

The platform is a little complex for a users to start and comprehend few metrics. Review collected by and hosted on G2.com.

Simple and less than 5 steps setup of search and conversation on any website or storage or structured or unstructured data that an organization can have. Can start to concverse with the data as soon as 1 hr of setup. Review collected by and hosted on G2.com.

Setup takes a while for some unstructured data and if the files are huge for it to be indexed and be available for search. Conversations may not be completly accurate. Review collected by and hosted on G2.com.