Skip to main content

AI Receptionist Knowledge Base Uses and Limitations?

  • April 11, 2025
  • 1 reply
  • 27 views

Forum|alt.badge.img

Want to get my receptionist in production. What would help for all of us:

  1. A sandbox to test what we’re building, not at the individual stage level, but in basically a production level sandbox. 
     
  2. The 500 character “prompt” (ie, company description) is way too short. It also may be better used as a traditional system prompt rather than an faq generating action (“You are a helpful knowledgeable and kind assistant for company XYZ… Always use {variables}. Never say {variable}. Do not insert stock phrases like “would you like me to transfer you to X”. Trying to build a capable assistant not a switchboard. 
     
  3. Please provide more information on the knowledge base usage, and how the AI references it. 
    we can create (some of us have this handy) our own faq; can the knowledge base contain instructions on bot behavior…tone/temperature etc? (More than the options for the default voice and style)?
  4. Will growing knowledge bases create significant latency in the AI response?
  5. are .md or .xml files usable in this feature? Those seem to be the standard with many agentic systems (as well as the current RC IVR config file format). 
     
  6. Are key value pair (FAQ for example ) lists better in a csv file or a text/pdf file?
  7. An off ramp for non English callers. There has to be a way for the agent to recognize non-English, and have its own path. 
     
  8. What benefits/limitations exist if the knowledge base contained a list of URL’s (that basically link to another knowledge base that relates to this one? Can the current version of AiR perform a real time web search like openAI, Gemini and Perplexity?
  9. it would be helpful to know the underlying infrastructure of the RC AI build. 

I can go on.. but if anyone out there has any answers advice or creative workarounds, would love to hear them!

1 reply

BeckyH
Community Manager
Forum|alt.badge.img+1
  • Community Manager
  • 740 replies
  • April 11, 2025
myobgyn wrote:

Want to get my receptionist in production. What would help for all of us:

  1. A sandbox to test what we’re building, not at the individual stage level, but in basically a production level sandbox. 
     
  2. The 500 character “prompt” (ie, company description) is way too short. It also may be better used as a traditional system prompt rather than an faq generating action (“You are a helpful knowledgeable and kind assistant for company XYZ… Always use {variables}. Never say {variable}. Do not insert stock phrases like “would you like me to transfer you to X”. Trying to build a capable assistant not a switchboard. 
     
  3. Please provide more information on the knowledge base usage, and how the AI references it. 
    we can create (some of us have this handy) our own faq; can the knowledge base contain instructions on bot behavior…tone/temperature etc? (More than the options for the default voice and style)?
  4. Will growing knowledge bases create significant latency in the AI response?
  5. are .md or .xml files usable in this feature? Those seem to be the standard with many agentic systems (as well as the current RC IVR config file format). 
     
  6. Are key value pair (FAQ for example ) lists better in a csv file or a text/pdf file?
  7. An off ramp for non English callers. There has to be a way for the agent to recognize non-English, and have its own path. 
     
  8. What benefits/limitations exist if the knowledge base contained a list of URL’s (that basically link to another knowledge base that relates to this one? Can the current version of AiR perform a real time web search like openAI, Gemini and Perplexity?
  9. it would be helpful to know the underlying infrastructure of the RC AI build. 

I can go on.. but if anyone out there has any answers advice or creative workarounds, would love to hear them!

Love this! Let me share this with our AI Assistant team for feedback!


Reply


Cookie policy

We use cookies to enhance and personalize your experience. If you accept you agree to our full cookie policy. Learn more about our cookies.

 
Cookie settings