Feedback collection and annotation in LangChain

Introduction

Collecting feedback helps improve systems by understanding user opinions. Annotating feedback organizes it for easy analysis.

When you want to gather user opinions about a product or service.

When you need to label feedback as positive, negative, or neutral.

When you want to track common issues reported by users.

When you want to improve a chatbot by learning from user comments.

When you want to store feedback in a structured way for reports.

Syntax

LangChain

CREATE TABLE feedback (
  id SERIAL PRIMARY KEY,
  user_id INT NOT NULL,
  comment TEXT NOT NULL,
  annotation VARCHAR(50),
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

This syntax creates a table to store feedback and its annotation.

The 'annotation' column can hold labels like 'positive', 'negative', or 'neutral'.

Examples

Adds a positive feedback comment from user 1.

LangChain

INSERT INTO feedback (user_id, comment, annotation) VALUES (1, 'Great service!', 'positive');

Adds a negative feedback comment from user 2.

LangChain

INSERT INTO feedback (user_id, comment, annotation) VALUES (2, 'Too slow response.', 'negative');

Fetches all feedback labeled as positive.

LangChain

SELECT * FROM feedback WHERE annotation = 'positive';

Sample Program

This example creates a feedback table, inserts three feedback entries with annotations, and then selects all feedback to show the stored data.

LangChain

CREATE TABLE feedback (
  id SERIAL PRIMARY KEY,
  user_id INT NOT NULL,
  comment TEXT NOT NULL,
  annotation VARCHAR(50),
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

INSERT INTO feedback (user_id, comment, annotation) VALUES (1, 'Great service!', 'positive');
INSERT INTO feedback (user_id, comment, annotation) VALUES (2, 'Too slow response.', 'negative');
INSERT INTO feedback (user_id, comment, annotation) VALUES (3, 'Okay experience.', 'neutral');

SELECT id, user_id, comment, annotation FROM feedback ORDER BY id;

Important Notes

Use clear and consistent labels for annotations to make analysis easier.

Store timestamps to track when feedback was given.

Keep comments text-based to allow detailed user input.

Summary

Feedback collection stores user opinions in a table.

Annotation labels feedback for easy sorting and analysis.

Simple SQL commands create, insert, and query feedback data.