Benefits of Building ChatGPT like GenAI Assistive Search for your Knowledge Base
In the search engine era, we have always used “keywords” when we look for information. Search engines have organized information such that keyword matching happens cleverly using algorithms. However, ChatGPT has completely shifted how we search for information. In terms of searching, we moved on from “using keywords” to “asking accurate questions”. OpenAI, provides a large Application Programming Interface (API) that can be used to build ChatGPT-like interfaces on the proprietary data you have. This blog talks about how to build a ChatGPT-like assistive search tool using the data you hold.
Why is it important to create a ChatGPT-like system?
Motivated by shifting customer behavior and new technological developments, many organizations across the globe have implemented GenAI-powered assistive search in addition to lexical search which uses keywords. The below table shows the different approaches in search paradigms.
| Characteristics | Lexical Search | GenAI Assistive Search |
| Knowledge discovery | Keywords | Prompts (questions) |
| Context required | No | Yes |
| Response time | Milliseconds | 1 – 5 seconds |
| Matching algorithm | Keyword matches | Semantic matches |
| Autocomplete keyword | Yes | No |
| Response | Articles that contain the “keyword” | Exact response to the prompt (questions) |
Building your own GenAI assistive search tool has a lot of advantages compared to using OpenAI’s ChatGPT interface. The ChatGPT is built using a Large Language Model (LLM) that takes a large corpus of text data, time, and compute resources. The latest ChatGPT model is trained using the data until April 2023.
Given that ChatGPT is open for anyone to use, we cannot limit access to information based on user permission and their roles. Moreover, the behavior of the ChatGPT cannot be customized.
ChatGPT does not offer any analytics to its users or any organization. To overcome ChatGPT limitations, organizations can build their own ChatGPT-like assistive search tools or chatbots utilizing OpenAI APIs.
Benefits of GenAI Assistive search
Organizations can use Retrieval Augmented Generation (RAG) frameworks to build their own GenAI search engine or chatbot. This framework helps to overcome the limitations of general-purpose ChatGPT and reap the benefits of having GenAI assistive search.
Private knowledge base
Organizations can point their ChatGPT to their private knowledge base or organization knowledge repository such that it only uses the information present in them to generate accurate responses
Content updates
Once the content is updated, your ChatGPT-like assistive search tools can pick it up instantly to produce timely responses
Access control
Users in the organization can be restricted from accessing certain information. ChatGPT-like assistive search tools might respond, saying, “You do not have access to that information, or I am sorry.” Role-based access control over the knowledge base prevents information leakage and helps protect confidential information.
Data security and privacy
Data can be held in a private server within your organization’s security perimeter to protect your confidential knowledge
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