Agentic GraphRAG

Agentic GraphRag

Industry best practices, research papers, repositories, and implementation guides for Graph Retrieval-Augmented Generation. Featuring PostgreSQL vector semantic search and Neo4j knowledge graph architectures.

Browse Knowledgebase Semantic Search Knowledge Graph

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Knowledge Entries

Explore by Category

Dive into the comprehensive collection of GraphRAG knowledge organized across ten distinct categories.

2 entries

Fundamentals

Core concepts, definitions, and the foundational theory behind GraphRAG

2 entries

Architecture & Patterns

Design patterns, pipeline architectures, and system design for GraphRAG

6 entries

Best Practices

Production optimization, performance tuning, and deployment strategies

10 entries

Research Papers

Academic publications, surveys, and benchmark studies

7 entries

Repositories & Tools

Open-source implementations, SDKs, and developer tools

5 entries

PostgreSQL & pgvector

Vector search, hybrid retrieval, and HNSW indexing with PostgreSQL

6 entries

Neo4j & Knowledge Graphs

Graph database integration, Cypher queries, and KG construction

2 entries

Evaluation & Benchmarks

Metrics, benchmarks, and quality assessment frameworks

3 entries

Enterprise Use Cases

Industry applications across healthcare, legal, finance, and more

1 entries

Alternatives & Ecosystem

LightRAG, AWS toolkit, and alternative GraphRAG implementations

Neo4j Knowledge Graph

Interactive Knowledge Graph Explorer

Visualize the relationships between GraphRAG concepts, technologies, implementations, and use cases through an interactive node-link diagram powered by vis-network.

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Semantic Vector Search

Search the knowledgebase using semantic similarity powered by vector embeddings. Find relevant content even when exact keywords don't match, with hybrid search combining vectors and full-text using Reciprocal Rank Fusion (RRF).

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