GitHub - srinjayeeg/Gyaan-Z: Gyaan-Z is an AI-powered intelligent tutoring system designed to enhance student learning through guided reasoning instead of direct answers. Unlike traditional AI tools, Gyaan-Z integrates Retrieval-Augmented Generation (RAG) with a Socratic prompting approach, encouraging students to think critically and solve problems step-by-step.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
Gyaan-Z		Gyaan-Z
__pycache__		__pycache__
chroma_db		chroma_db
data		data
public		public
rag-tutor		rag-tutor
src		src
.gitignore		.gitignore
chat_config.py		chat_config.py
chat_schemas.py		chat_schemas.py
chat_service.py		chat_service.py
check_chunks.py		check_chunks.py
check_text_splitter.py		check_text_splitter.py
chunks.json		chunks.json
chunks_abc.json		chunks_abc.json
chunks_abc1.json		chunks_abc1.json
chunks_java101.json		chunks_java101.json
chunks_java123.json		chunks_java123.json
chunks_p12.json		chunks_p12.json
chunks_py123.json		chunks_py123.json
chunks_pyt123.json		chunks_pyt123.json
chunks_python1.json		chunks_python1.json
chunks_python12.json		chunks_python12.json
chunks_test.json		chunks_test.json
curve.py		curve.py
debug_retrieval.py		debug_retrieval.py
eslint.config.js		eslint.config.js
index.html		index.html
main.py		main.py
out_of_scope_detector.py		out_of_scope_detector.py
package-lock.json		package-lock.json
package.json		package.json
pipeline.py		pipeline.py
quick_test.py		quick_test.py
requirements.txt		requirements.txt
run_pipeline.py		run_pipeline.py
test_chat_api.py		test_chat_api.py
test_out_of_scope_detection.py		test_out_of_scope_detection.py
test_queries.py		test_queries.py
test_retrieval.py		test_retrieval.py
test_threshold_0_5.py		test_threshold_0_5.py
tmp_check.py		tmp_check.py
vector_store.py		vector_store.py
vite.config.js		vite.config.js

About

Gyaan-Z is an AI-powered intelligent tutoring system designed to enhance student learning through guided reasoning instead of direct answers. Unlike traditional AI tools, Gyaan-Z integrates Retrieval-Augmented Generation (RAG) with a Socratic prompting approach, encouraging students to think critically and solve problems step-by-step.