langchain-iris-tool

Contains an implementation of a Langchain Tool (BaseTool) to do RAG operations on Intersystems IRIS Server.
It is a Chat Agent tool also. It is possible ask questions like:

1. List the server metrics
2. Return intersystems iris server information
3. Save the global value Hello to the global name Greetings
4. Get the global value Greetings
5. Kill the global Greetings
6. List the classes on IRIS Server
7. Where is intersystems iris installed?
8. Return namespace information from the USER
9. List the CSP Applications
10. List the server files on namespace USER
11. List the jobs on namespace %SYS
12. List alerts

Now, we have fake data generation using Generative AI.

Prerequisites

Make sure you have git and Docker desktop installed.

Installation

Docker (e.g. for dev purposes)

Clone/git pull the repo into any local directory

$ git clone https://github.com/yurimarx/langchain-iris-tool.git

Open the terminal in this directory and run:

$ docker-compose build
$ docker-compose up -d

Solutions used

1. Ollama - private LLM and NLP Chat tool
2. Lanchain - plataform to build AI agents
3. Streamlit - Frontend framework
4. InterSystems IRIS as a server to answer the questions about it

1. Testing IRIS Classes Chat

1. Open the URL http://localhost:8501

2. Click item menu Iris Classes Chat

3. Check out the Settings button used to the Agent connect the InterSystems IRIS

4. Ask about your developed classes (e.g.: Are there classes that inherit from Persistent?)

2. Testing IRIS Tool Chat

1. Open the URL http://localhost:8501

2. Click item menu Iris Tool Chat

3. Check out the Settings button used to the Agent connect the InterSystems IRIS

4. Ask one of the following questions and wait some seconds to see the results:

• List the server metrics
• Return intersystems iris server information
• Save the global value Hello to the global name Greetings
• Get the global value Greetings
• Kill the global Greetings
• List the classes on IRIS Server
• Where is intersystems iris installed?
• Return namespace information from the USER
• List the CSP Applications
• List the server files on namespace USER
• List the jobs on namespace %SYS
• List alerts

3. Testing the fake data generation

1. Open the IRIS terminal on USER namespace and generate fake data from sample data on Company table:

USER>do ##class(dc.gendata.FakeData).Generate(“dc_gendata”,“Company”,“1=1”,“Company”,10,“Basic company data”,.results)

2. Wait 10-30 minutes to generate and see the results on the output variable (results):

USER>write results