I am explaining how you can grow your business 1000 times
with artificial intelligence using the example of a lawyer.
Let me explain with a simple example. I am sure you will be satisfied when you read it.
Let's say you are a lawyer and your clients frequently consult you for the information they need in your field. In this case,
you can respond to a limited number of clients every day. It is a fact that you can work for a maximum of 24 hours a day.
In this case, as a lawyer, you can upload all the laws, rules, similar cases and results related to your field, your own personal documents,
writings, books, articles if any, and even video interviews to a vector database in a few steps and obtain a dataset in a better version of yourself.
All you need to do from this point on is to make this information speak with a large language model (openai, gemini, etc.) using the right methods.
Congratulations, you have now obtained an artificial intelligence agent that is a much better version of yourself.
From this point on,
a day for this lawyer can exceed 24 hours and increase the number of clients he can normally handle thousands of times without even hiring a single person.
From this point on, your clients can talk to this agent and take all the consulting burden off your shoulders. Yes, you heard right, I am talking about expanding your business thousands of times.
The fact that the effects of artificial intelligence are still not fully understood today gives you a great competitive power to enter the market early.
In this example, we preferred a lawyer, but this could be a marketing specialist, accountant, software service, financier or something else.
Now let me talk
about how you can do this.
As you know from my previous artificial intelligence articles, having a personalized or institutionalized artificial intelligence agent is a must for each of us in this age.
In my personal opinion, companies that do not include artificial intelligence agents in their own operations will not see 2026.
At this point, as you know from my previous articles, there are two ways to have a personalized (institutionalized) artificial intelligence agent.
The first is fine-tuning, the second is RAG (for more detailed information, you can access my previous posts or my blog posts via sincapptech.com/blog).
Now I will touch on an important issue regarding the RAG integration process, which is the fastest and most economical solution, Vector Databases.
What is
the vector database and why is it so critical for your artificial intelligence projects?
If we ask Chat GPT, vector database; "A vector database is a database that stores data as mathematical vectors and allows fast searching on these vectors.
It is used especially in artificial intelligence and machine learning projects to make sense of complex data such as text, images or audio.
For example, it can quickly find a similar document, image or audio file."
When it comes to the importance and usage area of vector databases for your own artificial intelligence agents, vector databases are
databases where you store all the information you want to use to train an artificial intelligence model. They have a very different and faster structure than a normal database.
For these reasons,
we keep all of our know-how, company information, corporate capabilities, sector information, field information or
customer-specific flows in vector databases in order to scale, accelerate and improve quality with artificial intelligence.
After storing our information correctly in vector databases, what we need to do is integrate it into a large language model with the help of RAG.
You can develop this entire process yourself as I mentioned above, or if you wish, I can develop your artificial intelligence agent for you in this area of my expertise,
or we can integrate it into your existing systems.
Congratulations,
you have obtained an artificial intelligence agent that is a much better version of yourself.
