Data Super Engineer
Data Super Engineer
Among the many emerging capabilities of large language models (LLMs), one of the most powerful is their ability to translate natural language into structured actions via API calls. This concept is formalized as “tools” in the OpenAI API. Model Context…
Our customers struggle to obtain effective technical answers using generic LLM and AU tools, as the responses were too broad and failed to address their specific issues. With our solution, we helped them ingest their data into LitenAI. Leveraging LitenAI…
Our customers often spend significant time cleaning incoming raw data before it can be ingested into clean, structured tables. With LitenAI, these tasks can be performed simply by using natural language prompts. The agent reads the files, removes or modifies…
In this use case, the customer owns an expensive MRI machine that requires regular servicing or repairs. LitenAI assists technicians through a conversational interface, providing expert information sourced from ingested manuals and log data. By consolidating all data into its…
LitenAI supports uploading packet files in PCAP format, storing all packets in its Smart Lake. For demonstration, a table named pcap has been created in the LogReason Smart Lake. It can ingest large volumes of packet data for analysis. While…
Introduction Contact us to get the latest docker image.All data is local and accessible only to the user. LitenAI does not collect any data from user. Installation Steps Prepare Your Environment Load the Docker Image docker load < litenai.<version>.tar.gz docker image…
At many companies, resolving customer issues can be a time-consuming process. Delays often arise from waiting for responses or scheduling debugging sessions with experts. This impacts customer service level agreements and frustrates both support engineers and customers. LitenAI is an…
Our customers’ support operations generate vast amounts of data, including knowledge documents and structured data like machine logs. LitenAI Smart Lake securely stores this data, scaling efficiently to handle petabyte-level volumes at a competitive cost. The stored data is fully…
In this use case, the customer maps a hardware design onto an FPGA. LitenAI assists with design, architecture, and debugging flow issues. It consolidates manuals, debug information, support data, and logs into its Smart Data Lake, enabling intelligent searches and…