How RAG-Powered AI Improves Knowledge Access for Channel Partners and Distributors 3 min read ● Silk Team The ability to provide timely, correct information regarding products, pricing, availability, configuration, and policies to channel partners, independent representatives, and distributors is an ongoing challenge. However, these groups do not typically have access to company resources (i.e., internal [...]
How Global Manufacturers Use LLMs and RAG to Scale Multi-Language Technical Content 3 min read ● Silk Team Global manufacturers have an unusual documentation problem: technical content has to be precise, regulatory compliant, and translatable into many languages and regions. Frequently, this means delivering product manuals, safety guidelines, maintenance instructions, and training materials in multiple [...]
How Distributors Use RAG to Build Trustworthy, Accurate AI Answers for Sales Teams 3 min read ● Silk Team Distributors today are expected to respond at incredible speeds – responding to customer inquiries about their products, availability, prices and possible alternatives immediately. Speed is a promise made by AI; however, many distributor teams do not [...]
How Manufacturers Preserve Institutional Knowledge With LLMs and RAG as Teams Evolve 3 min read ● Silk Team Companies face a growing and serious risk: the loss of institutional knowledge. Experienced engineers, operators and technicians have spent years building knowledge; this knowledge has left with them as they retire or leave. Although many companies have [...]
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 [...]
