Chat with your data
Chat with Your Data is an artificial intelligence solution developed by 7Puentes that enables agile interaction with your company’s data and is an indispensable solution for oil and gas companies that want to stay ahead in an increasingly competitive market. In this new sprint, we optimized the integration of data sources and added new key functionalities.
The complexity of the oil and gas sector and the need for technical and engineering work to be increasingly rigorous, accurate and based on reliable data is an inescapable reality.
Today, the oil and gas sector is characterized by the coexistence of different industrial roles, such as operators of heavy machinery, supervisors, organizers and planners. It is in these dialog interfaces between computer systems and human operators that the greatest opportunities exist.
For example, operators record observations and notes related to maintenance, safety and hygiene, quality and production, among other aspects of the processes. These reports are typically collected and stored in operations management systems, but need to be read by other humans for subsequent strategic decision making.
Generative AI technologies make it possible to automatically read these observations and categorize or extract new knowledge from large amounts of data. In this case, a Large Language Model (LLM) takes only a few minutes, whereas a human would need days to read a large number of texts.
At the same time, the latest LLM models are multimodal and multi-agent, and are generally quite efficient at interpreting simple graphs and diagrams. This can also speed up turnaround times when an analyst has to read hundreds or thousands of pages of technical reports.
In turn, oil and gas companies have multiple systems, and information is often highly fragmented across these systems. Developing an automated, real-time query platform and Text2SQL for integrated use by employees and managers is becoming increasingly important.
Chat with Your Data and its Multiple Connections
7Puentes has developed Chat with Your Data, the innovative AI solution that revolutionizes the way companies interact with their data.
Imagine being able to ask questions directly to your database and get instant, accurate answers without the need for specialized technical knowledge. Chat with Your Data makes this possible by using the power of natural language processing and machine learning to interpret your queries and extract relevant information. This tool not only saves time, but also democratizes access to data, enabling users at all levels to make informed decisions quickly and efficiently.
It’s worth noting that this tool uses a multi-agent system, meaning it has different «agents» that specialize in different tasks. Each agent is designed to process and answer specific questions, ensuring accurate and relevant information in real time based on the user’s needs.
During our new development sprint, we added important new features to make the system more versatile and efficient. In this release, we focused on: 1) improving PDF document pre-processing; 2) connecting the chatbot to multiple data sources; 3) improving the ability to summarize the entire content of attached documents; and 4) tracking tokens consumed per chat.
Obviously, we wanted to improve the capabilities of Chat with Your Data to save analysis time for specialists in different fields.
One of our examples involved a hypothetical risk analysis engineer tasked with developing safety procedures using real data from incidents recorded during field work in the oil industry (such as drilling wells). With this tool, they can quickly create statistical reports and link them to real documents with information on how to address safety risks, accident prevention, best practices, and existing regulations.
In describing these procedures, the tool demonstrates clear precision and functionality.
Main features of Chat with your data
Let’s take a closer look at the four features that have been improved to make the system more versatile and efficient.
1. Improve PDF document pre-processing:
PDF documents can contain information in a variety of formats, not just text. This includes statistical charts, tables, photos, infographics, etc. In addition, textual data can be disordered because the PDF format is optimized for visual display rather than textual reading.
In order to ask questions about this information, the content of the documents must first be analyzed. This is done with a procedure that transforms each page of the document into an image, which is then processed with a multimodal LLM in two steps: the first is an image analysis and the second is the transcription. It should be noted that the model used is the 13 trillion parameter multimodal and multilingual Llama3.2 model, which we run on local hardware with a T4 GPU. However, this model can be replaced with newer or fine-tuned models as they become available to improve its accuracy.
2. Connecting the chatbot to multiple data sources:
It is now possible to load multiple database connections and choose which ones to query. The bot can respond with information from multiple databases simultaneously.
The key to development is integrating documents and external databases into chats and combining them. It is a back-and-forth process between document sources and databases.
In this example, Chapter IV oil production data is attached from three different databases, one for each year.
You can also combine information from database connections and attachments to provide comprehensive answers:
3. Improved ability to summarize the entire content of attached documents:
The bot now has the ability to summarize the entire content of multiple PDF documents in a single request, regardless of whether they contain images or are in different languages. The tool’s capacity and speed make it suitable for use with any document or source we need.
4. Chat monitoring:
The solution developed by 7Puentes now offers the possibility of counting tokens for each chat. This provides insight into the resource consumption of each task. We can also track model responses to identify potentially incorrect, inappropriate, or insecure responses. We can get metrics on model usage that can be used for cost estimation or performance of different language models.
Benefits of the Oil and Gas AI Solution
Key benefits of using these features include:
- The chatbot can act as an expert agent, such as a health and safety analyst, providing expert knowledge to the business.
- Real-time, accurate information queries that avoid hallucinations.
- Multi-agent models free up human time for other valuable and strategic activities.
- The chatbot can anticipate the user’s personalized needs (for example, by monitoring valuable insights, preventing accidents, and providing industry-specific procedures).
- It is a system that can easily interact with structured and unstructured data, connect to different sources and improve information processing.
- Significant cost and time savings for oil and gas personnel.
- The model adapts and can be optimized to the data and needs of your industry.
- Solutions are robust, high quality, and iterative. This accelerates work and project turnaround times for specialists in the field.
The system provides personalized support, security and reliability in data management.
If this topic really interested you, we invite you to
- Share this post with other professionals and executives.
- Explore the possibilities and benefits of implementing Chat with Your Data in your company.
- Schedule a call with 7Puentes’ team of experts.
