How Manufacturers Use RAG Models to Scale Technical Content Without Sacrificing Accuracy 3 min read ● Silk Team There is so much technical content created by manufacturers — product manuals, installation guides, maintenance procedures, safety documentation, training materials, and compliance updates. Keeping these forms of technical content current and correct is becoming increasingly difficult due [...]
How RAG-Powered AI Helps Distributors Answer “Can You Help Me Find…?” Requests Faster 3 min read ● Silk Team Few questions are more common—or more challenging—for distributors than: “Can you help me find…?” Customers rarely ask with perfect part numbers or clean specifications. Instead, they describe problems, constraints, legacy equipment, partial details, or alternatives they’ve [...]
How LLMs and RAG Centralize ERP, PIM, and Documentation Into One Source of Truth 3 min read ● Silk Team Understanding RAG and LLM Before delving into their impact, it's important to understand what RAG and LLM are. Large language models, such as GPT-4 or BERT, are AI systems trained on massive amounts of text [...]
How RAG Makes AI Safe for Proprietary and Regulated Manufacturing Data 3 min read ● Silk Team Companies recognize the benefits of AI and want to make full use of it; however, most do not fully implement AI technology due to concerns about risk. This is not a question of whether AI will be effective [...]
How Distributors Use LLMs and RAG to Accelerate Product Selection and Cross-Selling 3 min read ● Silk Team To improve efficiency for your sales team and shorten the sales cycle, you could implement a retrieval-augmented generation model. A retrieval-augmented generation model uses a large language model to generate an answer based on a set of [...]
How RAG Models Strengthen Manufacturing Customer Support Without Replacing Human Agents 3 min read ● Silk Team Customer support in manufacturing has its own unique challenges. Manufacturing support teams have to deal with numerous technical questions regarding equipment configuration, error codes, maintenance procedures, warranty issues, and compliance regulations. These answers need to be correct, consistent [...]
How RAG and LLMs Help Manufacturing Teams Eliminate Engineering Bottlenecks 3 min read ● Silk Team The bottleneck that engineering teams create in manufacturing operations is largely caused by how much time is spent on answering repetitive questions. Engineers spend too much time answering repetitive questions about product specs, legacy designs, trouble shooting procedures and [...]
How Distributors Build Product Knowledge Copilots for Faster, Smarter Sales Teams 3 min read ● Silk Team Many distributors handle an enormous amount of information about products; the SKUs, specs, compatibility data, pricing rules, etc. Sales teams are expected to be able to answer all of these questions at a moment's notice when interacting with [...]
How LLMs and RAG Are Transforming Internal Sales Enablement for Distributors 3 min read ● Silk Team The environment of distribution is full of knowledge; sales representatives have to provide detailed product specifications, availability, pricing guidelines, promotions and customer-specific arrangements -- often in real-time -- to respond to inquiries from customers and other partners. However, [...]
How RAG Models Help Manufacturers Get Instant Answers From Complex Documentation 3 min read ● Silk Team Manufacturers have massive volumes of technical documentation—manuals for their equipment, standard operating procedure, safety guidelines, and records of previous maintenance activity. But although they have all this information at hand, many teams still cannot find the specific piece [...]
