AI Agents working with your data.
| Multilingual agents that classify external and internal queries and write a reply using your data and knowledge. |
This is how it works
Automatically replying to German email in German
The powerful multilingual AI Agents
Enhance your business operations with our suite of AI agents:
the Email Agent streamlines communication, the RAG Agent swiftly retrieves and generates data-driven content, our excellent SQL Agent optimizes database interactions, the Website Chat Agent dynamically improves online engagement, the Semantic Search Agent delivers precise contextual search results, and the Research Assistant efficiently handles routine customer interactions.
Native languages: English, German, French, Italian, Spanish
Many to English languages: Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hungarian, Irish, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish and Swedish.
Vecta AI Agents
Email Agent
Our Email Agent is designed to revolutionize your email communication, utilizing your company’s data to automate routine tasks effectively. This intelligent system categorizes incoming messages, identifies priorities based on historical data, and even suggests or drafts responses using learned patterns from your interactions. By integrating seamlessly with your existing email platforms, this agent ensures that no critical communication slips through the cracks, saving you countless hours and increasing overall efficiency.
RAG Agent (Retrieval Augmented Generation)
The RAG Agent stands at the forefront of information retrieval and generation, tailored to harness your company’s extensive data reservoir. This agent dynamically fetches relevant documents and data points from your databases to answer queries or solve problems, then generates coherent, contextually accurate content or reports. Ideal for supporting decision-making processes, the RAG Agent provides your teams with the insights they need, precisely when they need them, leveraging the full potential of your archived knowledge.
SQL Agent
Our SQL Agent is a powerful tool designed to interact with your databases seamlessly. It automates complex SQL queries, updates, and report generation by understanding the structure of your stored data and the operational requirements of your business. This agent not only speeds up data retrieval processes but also ensures data integrity and security, making it an indispensable tool for any data-driven organization looking to enhance their database management without compromising on performance or accuracy.
Semantic Search Agent
Our Semantic Search Agent goes beyond traditional keyword matching by understanding the intent and contextual meaning behind search queries within your company’s documents and databases. This sophisticated search functionality allows employees to find not just the exact keyword they searched for but also content that is conceptually related, drastically reducing the time spent searching for information and increasing productivity across all departments.
Website Chatbot Agent
The Chatbot Agent is designed to be the first line of interaction within your digital platforms, utilizing natural language processing to understand and respond to user inquiries instantly. By accessing your company’s structured data, this agent can provide quick answers, resolve common issues, and route complex queries to the appropriate human teams. This not only enhances customer experience but also frees up your staff to focus on more complex and creative tasks, leveraging AI to handle routine interactions efficiently.
Research Chatbot Agent
The Research Chatbot Agent is specifically tailored to navigate and extract information from specialized data collections such as Arxiv, Reddit, and Wikipedia. Employing advanced search algorithms and natural language processing, it comprehends complex queries and retrieves precise, source-cited information swiftly. This agent enhances research efficiency by delivering relevant data and documentation directly to users, significantly reducing the time spent on preliminary data gathering and ensuring the reliability of sourced content.
