Gen-AI (ViliminAI) Chat NLP with Database
Connect any database(SQL, NoSQL, RDBMS, etc.) and build your Chat & create own Dashboard without any SQL/NoSQL expert knowledge.
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Entire application will act as SaaS model or you can build your own within your organization network. The article showcases the effectiveness of GenAI in simplifying and optimizing the creation of intricate SQL queries. This facilitates a more user-friendly experience for individuals seeking to interact with databases and efficiently retrieve the required data. Whether you are a novice or a seasoned developer, the article offers valuable insights on harnessing GenAI to elevate your proficiency in crafting SQL/NoSQL queries.
Gen AI with Database interaction
Query generation: Leveraging natural language inputs, GenAI excels at crafting SQL queries, enabling users to effortlessly retrieve data from a database without the need for manual SQL code composition.
Data analysis: GenAI showcases its prowess by delving into the data within a SQL/NoSQL database, offering insights or summarizing information in a comprehensible natural language format.
Chatbot interface: Through seamless integration with a SQL/NoSQL database, GenAI can be employed to develop a chatbot capable of answering queries or executing actions based on the database’s stored data.
Automated reporting: GenAI extends its capabilities to automated reporting, generating reports from SQL/NoSQL database data and presenting them in a conversational format. This approach enhances user accessibility and comprehension of the data presented.
Gen AI with Data Analyze
Insight generation: GenAI excels at analyzing extensive datasets within databases, producing valuable insights that guide business decisions and foster growth.
Reporting: Through automated processes, GenAI generates reports from database-stored data, enabling executives and analysts to stay well-informed about crucial metrics and emerging trends.
Data visualization: GenAI goes beyond textual analysis by creating charts, graphs, and various visualizations based on database data, enhancing executives’ and analysts’ comprehension of intricate datasets.
Chatbot interface: By integrating with databases, GenAI contributes to the development of chatbots capable of responding to inquiries and executing tasks aligned with the stored database information. This integration liberates executives and analysts from routine and repetitive tasks.
Decision support: Leveraging data analysis from databases, GenAI offers decision support by generating recommendations rooted in the analyzed data, aiding executives and analysts in making informed choices.
Assistance with queries: GenAI simplifies database interaction for users unfamiliar with SQL syntax by generating SQL queries based on provided information. For instance, users can instruct GenAI to retrieve specific data without the need to write SQL code, streamlining tasks like fetching customer names and email addresses for recent purchases.
Let’s connect with DB
Normally people will connect two different system and make the query in GenAI and get the data from real DB but but here I am showing all in one platform ViliminAI NLP Database connect.
ViliminAI Database will connect any db in local and run your plain NLP query in txt pad area. Gen-AI will automatically generate the standard optimized RDBMS query and place t in the execution area.
Go to performance area and build any set of query which you want to show it in the dashboard. It will automatically generate and build the dashboard for your needs.
Conclusion
Here are instances highlighting how GenAI proves beneficial for executives, CMOs, and data analysts working with databases. Capitalizing on its capacity to produce text resembling human language and analyze data, GenAI becomes a valuable resource, offering crucial support and insights to enhance decision-making. The utilization of GenAI for constructing SQL/NoSQL queries significantly streamlines and enhances efficiency in the process. Leveraging advanced natural language processing, GenAI adeptly comprehends intricate queries, effortlessly generating the corresponding SQL/NoSQL code.
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