Name: Advanced RAG & Graph RAG
Availability: InStock

Advanced RAG & Graph RAG

Live Online (VILT) & Classroom Corporate Training Course

Improve RAG systems beyond basic vector retrieval - advanced chunking, parent-child retrieval, hybrid search, query transformation, reranking, contextual retrieval, agentic RAG and Graph RAG using knowledge graphs and graph-based retrieval.

Expert-Led VILT & Classroom 16 Hours Level: Advanced Certificate of Completion

Overview

What You Will Learn

By the end of this course, learners will be able to:

Identify the limitations of basic vector-based RAG systems.
Apply advanced chunking and parent-child retrieval techniques.
Implement hybrid search using sparse and dense retrieval approaches such as BM25 and vector search.
Use query rewriting, query expansion and multi-query retrieval to improve recall.
Implement reranking and contextual retrieval to improve relevance.
Design controlled Agentic RAG workflows with iterative retrieval.
Explain Graph RAG, knowledge graphs, entities, relationships and graph-based retrieval.
Combine vector and graph retrieval for complex knowledge-intensive queries.
Evaluate advanced RAG systems using retrieval, context and answer-quality metrics.
Build and demonstrate an advanced RAG system incorporating multiple retrieval strategies.

Prerequisites

Working knowledge of Python, LLMs, embeddings, vector databases and basic RAG pipelines is recommended.

Course Outline

Review of the Basic RAG Pipeline
Common Retrieval Failures
Poor Chunk Boundaries
Missing Context and Context Fragmentation
Low Recall and Irrelevant Retrieval
Query-Document Vocabulary Mismatch
Long-Context and Context-Window Challenges
Hallucination and Grounding Issues
Latency and Cost Trade-offs
When Basic RAG is Not Enough

Limitations of Fixed-Size Chunking
Semantic Chunking
Structure-Aware Chunking
Hierarchical Document Representation
Parent-Child Chunking
Child-Chunk Retrieval and Parent-Context Expansion
Chunk Metadata and Document Hierarchy
Chunk Overlap Optimization
Selecting Chunking Strategies
Evaluating Chunk Quality

Dense vs Sparse Retrieval
Keyword Search Fundamentals
BM25 Retrieval
Vector Similarity Search
Vocabulary Mismatch and Semantic Matching
Combining BM25 and Vector Search
Reciprocal Rank Fusion
Weighted Retrieval Fusion
Hybrid Search Configuration
Evaluating Hybrid Retrieval

Why Query Transformation Matters
Query Rewriting
Query Normalization
Query Expansion
Adding Missing Context to Queries
Multi-Query Retrieval
Generating Query Variations
Handling Ambiguous Queries
Intent-Aware Retrieval
Query Transformation Evaluation

Why Initial Retrieval is Not Enough
Reranking Fundamentals
Cross-Encoder and Reranker Concepts
Candidate Generation and Reranking
Relevance Scoring
Contextual Retrieval
Enriching Chunks with Context
Selecting the Best Context for Generation
Reducing Irrelevant Context
Latency and Quality Trade-offs

What is Agentic RAG?
Basic RAG vs Agentic RAG
Retrieval as an Agent Tool
Retrieval Planning
Iterative and Adaptive Retrieval
Query Generation by Agents
Tool Calling for Search and Retrieval
Evaluating Intermediate Retrieval Results
Handling Retrieval Failures
Designing Controlled Agentic RAG Workflows

Graph RAG Fundamentals
Why Use Graphs for Retrieval?
Vector RAG vs Graph RAG
Knowledge Graph Concepts
Entities, Nodes and Relationships
Properties and Graph Schema
Knowledge Graph Construction
Entity Extraction and Relationship Extraction
Graph Storage and Querying
Graph-Based Retrieval
Neighborhood and Subgraph Retrieval
Combining Graph and Vector Retrieval
Graph Context Construction
Graph RAG Use Cases

Evaluation Challenges in Advanced RAG
Retrieval Precision and Recall
Top-k and Ranking Quality
Query Transformation Evaluation
Reranking Evaluation
Context Relevance
Answer Relevance
Faithfulness and Groundedness
Graph Retrieval Evaluation
End-to-End RAG Evaluation
Building an Advanced RAG Evaluation Dataset

Define the Advanced RAG Use Case
Design the End-to-End Architecture
Prepare and Ingest the Knowledge Base
Implement Advanced Semantic Chunking
Implement Parent-Child Retrieval
Generate and Store Embeddings
Configure Vector Search
Implement BM25 Retrieval
Combine Sparse and Dense Retrieval
Implement Query Rewriting
Implement Multi-Query Retrieval
Add a Reranking Stage
Implement Contextual Retrieval
Design an Agentic Retrieval Workflow
Extract Entities and Relationships
Build a Knowledge Graph
Implement Graph-Based Retrieval
Combine Vector and Graph Retrieval
Construct the Final RAG Context
Generate Grounded Responses
Add Source Attribution
Build an Evaluation Dataset
Evaluate Retrieval and Answer Quality
Optimize Accuracy, Latency and Cost
Final Demonstration

Advanced RAG & Graph RAG

Overview

What You Will Learn

Prerequisites

Course Outline

Why enterprise teams pick Synergific.

Live Hands-On Cloud Labs

Hire-Train-Deploy

Four-Hour Solutions SLA

Voucher-Backed Certification

Authorised Curriculum, Local Delivery

Pick the format that fits your team.

Live Online (VILT)

Classroom

Self-Paced

Blended

How a course becomes measurable skill.

Discover & set goals

Curate the right path

Deliver hands-on training

Assess & mentor

Certify & apply on the job

Advanced RAG & Graph RAG

Overview

What You Will Learn

Prerequisites

Course Outline

Module 1: Limitations of Basic RAG (60 min)

Module 2: Advanced Chunking & Parent-Child Retrieval (75 min)

Module 3: Hybrid Search - BM25 + Vector Search (75 min)

Module 4: Query Rewriting, Expansion & Multi-Query Retrieval (75 min)

Module 5: Reranking & Contextual Retrieval (75 min)

Module 6: Agentic RAG (75 min)

Module 7: Graph RAG & Knowledge Graphs (120 min)

Module 8: Advanced RAG Evaluation (60 min)

Module 9: Hands-on Project - Build an Advanced RAG System (285 min)

Why enterprise teams pick Synergific.

Live Hands-On Cloud Labs

Hire-Train-Deploy

Four-Hour Solutions SLA

Voucher-Backed Certification

Authorised Curriculum, Local Delivery

Pick the format that fits your team.

Live Online (VILT)

Classroom

Self-Paced

Blended

How a course becomes measurable skill.

Discover & set goals

Curate the right path

Deliver hands-on training

Assess & mentor

Certify & apply on the job