iris-data-analysis

Implementing data query and analysis using IRIS vector search and LangChain

Describe

IRIS data analysis uses Embedded Python and calls OpenAI to implement dialogue information vectors, as well as querying database data information through dialogues. Data information can also be fed to AI for analysis. Introduced prompt words to enable AI to return the data we need, making it easy for code processing. Convert user questions into vectors and retrieve similar information through IRIS vector indexing.

Dynamic SQL generation

• Translate user questions into SQL statements using prompt words

RAG enhancement

• Vectorize and store questions, allowing for vector retrieval of similar problem solutions

How to use it

Prerequisites

Make sure you have git and Docker desktop installed.

Installation

1.Clone/git pull the repo into any local directory

git clone https://github.com/landomiller/iris-data-analysis.git

Open the terminal in this directory and run

docker-compose build

Run the IRIS container

docker-compose up -d