Mini_RAG_and_Knowledge_Graph

Mini projects on semantic search using ChromaDB — includes a RAG pipeline and a knowledge graph with query answering.

Semantic Search Projects: RAG & Knowledge Graph

This repository contains two mini projects focused on semantic search using ChromaDB and sentence-transformers. These assignments demonstrate basic implementations of:

1. Retrieval-Augmented Generation (RAG) Pipeline
2. Knowledge Graph Construction with Semantic Query Answering

Contents

Assignment 1: Mini RAG Pipeline with ChromaDB

• Preprocesses short hardcoded documents (lowercase + no punctuation)
• Uses sentence-transformers to embed documents
• Stores embeddings in ChromaDB
• Accepts a user query and retrieves the most relevant document

Technologies used:
sentence-transformers, chromadb, scikit-learn

Assignment 2: Knowledge Graph with Semantic Search

• Builds a simple RDF knowledge graph using rdflib
• Converts RDF triples into human-readable sentences
• Embeds the sentences using sentence-transformers
• Stores and queries them using ChromaDB
• Accepts natural language questions and returns relevant facts

Technologies used:
rdflib, sentence-transformers, chromadb