How to use the local knowledge base of intelligent agents? I have summarized 5 reliable industry cases

Recently, many friends have been using AI to build agents, and they all asked me a question:

“Are there any typical industry cases ? I want to see how others use the ‘local knowledge base’ to do things.”

Today I will summarize for you  5 very practical local knowledge base + intelligent agent application scenarios that I have seen recently , which may give you some inspiration.

Understanding the knowledge base from a novice's perspective

For example:

Imagine that you hired a very smart intern (this intern is ChatGPT or other big models), who knows everything but does n’t quite understand the specific situation of your company .

For example, if you ask him, "What is our company's return and exchange process?"
He may give a bunch of general answers, but they may not be applicable to your company .

At this time, you need to do one thing:

? During the on-the-job training, package your company’s internal documents, product introductions, process manuals, customer service records and other materials for him to see.  

Then he has a "company memory", and when he is asked the same question again in the future, he will be able to answer accurately and efficiently.

This process of "packaging for him to see" is what we call:

? Build a local knowledge base (local = your own, not scraped from the internet)

The principle is also very simple

1. You can upload materials: PDF, Word, Excel, web page, text.
2. The system automatically segments and indexes : large sections of content are cut into small pieces and their locations are marked like a library catalog.
3. When you ask a question, the system first searches for the answer in the data :
   it does not guess randomly, but first finds the relevant parts of your data.
4. Send the relevant content to the big model to understand + generate answers:
   So the answer is very professional and cites the content in your own library.

This process is called RAG mechanism (retrieval enhanced generation).

Which industries are particularly suitable for using local knowledge bases?

1. Training/education institutions : Turn course materials and Q&A collections into intelligent Q&A assistants
2. Tourism/Service Industry : Local attractions, packages, policies, organized into a knowledge base
3. Enterprise customer service : internal FAQ, work order process, product manual, and intelligent customer service
4. Sales assistance : common objection handling, product highlight library, instant query and instant answer
5. Doctor/legal advisor : check information, find clauses, proofread case

Case 1: Education and training industry - Implementing your own AI teaching aids

For the knowledge payment, education and training, and online course industries, you can upload handouts, real questions, and teaching materials to Kouzi, and create a "private teaching robot" in just a few minutes.

Students can ask it at any time: "Why is option B for this question?", "What knowledge point does this question test?".

AI can automatically quote content and explain logic based on your original data.

Value point : It saves you time to answer questions repeatedly, the content is not leaked, and the experience is good.
Suitable for people : training institutions, self-media lecturers, K12 tutors, university teachers.

Case 2: E-commerce industry - Handing over customer service questions and answers to AI

What annoys e-commerce bosses the most? Repeated customer service questions:

• “When will it be shipped?”
• “Are these pants high-waist or mid-waist?”
• “Can I return it?”

These can all be organized into knowledge documents, uploaded to the button knowledge base, and equipped with a customer service-type intelligent body on the official website and mini program. It can answer any questions asked by users, and can answer them without emotion 24 hours a  day ?

Value point : saving manpower, improving conversion rate, and maintaining stable customer service quality.
Suitable for : independent website store owners, Taobao operators, customer service supervisors, and e-commerce operators.

Case 3: Small and medium-sized enterprises - internal system question-answering robot

Every company has dozens or hundreds of pages of employee manuals and process documents, but no one is willing to read them. New employees ask again and again: "What is the process for applying for leave?", "What is the reimbursement limit?"...

Upload all these documents to the local knowledge base and set up an "in-house training assistant" so that everyone can ask questions and get answers at any time and can also quote the original text.

Value point : HR does not need to reply every day, and the management process is more standardized.
Suitable for people : administrative HR, middle-level corporate managers, and company managers.

Case 4: Legal/Financial Industry—— Document Q&A + Case Search Tool

Lawyers, legal affairs, financial advisors, where do you spend most of your time? Check the information.

Put your frequently used regulatory documents, classic cases, contract templates, and investment research reports into the local knowledge base and use intelligent agents to search for them.

for example:

• “Is a non-renewal of a labor contract considered an automatic renewal?”
• “Are there any similar cases of A-share delisting?”

You can locate key information in seconds, generate summaries and list sources.

Value point : Improve efficiency and reduce manual search time.
Suitable for : lawyers, legal affairs, investment research analysts, insurance brokers.

Case 5: Manufacturing/factory—— Equipment assistant + operation guide

The factory has a large number of equipment operating instructions, fault code documents, and maintenance manuals that no one wants to read. They are all put into the local knowledge base and an "equipment assistant intelligent body" is created. On-site workers and maintenance personnel can find solutions with just one question.

"What does the H12 fault code mean?"
"How do I handle a high temperature alarm?"

It directly gives you operational suggestions and explains the source, which is very convenient.

Value point : reduce costs, increase efficiency, and reduce training costs.
Suitable for people : manufacturing bosses, production supervisors, factory operation and maintenance personnel.

To sum up in one sentence:

Local knowledge base + intelligent agent, in essence, means
turning valuable internal knowledge assets into an AI assistant that can interact, search, and reference .

It not only helps you save time, but also amplifies your professionalism.