pthon image

Building Knowledge Graph from documents

Instructor based workshop for creating custom domain knowledge graph from unstructured data sources.

Hurry up to get enroll.. ₹10,000 ₹4,000 60% OFF

4.7

Rating

10 Hrs

Duration

Advance

Level

10

Assignments

What you'll learn

What is knowledge graph and its architecture and components
How to build multi modal knowledge graph from unstructured data
How to store and access knowledge graph in Graph Databases

Who should take this course

Ideal for anyone with python programming knowledge
Someone who is looking to create domain knowledge base

Skills you'll gain

Knowledge graph, Graph database, Cypher query, Neo4J
Graph database
Cypher query
Neo4J
Ontology

Course contents

Architecture
Application areas

Identifying Entities and their relationship
Entity disambiguation

Understanding the case study objective
Text preprocessing
Knowledge extraction using LLM
Entity standardization using ontology
Additional relationship extraction using LLM and rules

Defining schema
Importing the data

Creating multimodal knowledge graph with multi modal entity relationship

Creating Graph DB AI agents for applying GraphRAG

This workshop focuses on how to enhances the performance of RAG LLM by adding external knowledge base.

Building domain based Embedding model

In this course we will fine-tune a BERT models with medical data that can understand medical terminology and answer medical questions more accurately.

Building custom NER for medical domain

This workshop will focus on creating specialized NER model trained on medical texts to identify medical entities and extract relationship among them.