GraphRAGConfig: GraphRAG Configuration

In VectrixDB: Lightweight Vector Database with Embedded Machine Learning Models

GraphRAG Configuration

Description

Configuration for VectrixDB's GraphRAG implementation

Public fields

enabled

Whether GraphRAG is enabled

chunk_size

Target tokens per chunk

chunk_overlap

Overlapping tokens

chunk_by_sentence

Preserve sentence boundaries

extractor

Extraction method

nlp_model

NLP model name

llm_provider

LLM provider

llm_model

Model name

llm_api_key

API key

llm_endpoint

Custom endpoint

llm_temperature

Temperature

llm_max_tokens

Max tokens

max_community_levels

Max hierarchy depth

min_community_size

Min entities per community

relationship_threshold

Min relationship strength

deduplicate_entities

Merge similar entities

entity_similarity_threshold

Similarity for dedup

search_type

Default search strategy

local_search_k

Seed entities for local search

global_search_k

Communities for global search

traversal_depth

Max hops

include_relationships

Include relationship context

include_community_context

Include community summaries

enable_incremental

Incremental updates

batch_size

Chunks per batch

use_cache

Cache embeddings

cache_ttl

Cache TTL seconds

entity_types

Types to extract

relationship_types

Types to extract

Methods

Public methods

• GraphRAGConfig$new()

• GraphRAGConfig$with_openai()

• GraphRAGConfig$with_ollama()

• GraphRAGConfig$clone()

---

Method new()

Create a new GraphRAGConfig

Usage

GraphRAGConfig$new(enabled = FALSE, ...)

Arguments

enabled

Enable GraphRAG

...

Additional configuration options

---

Method with_openai()

Configure for OpenAI

Usage

GraphRAGConfig$with_openai(model = "gpt-4o-mini", api_key = NULL)

Arguments

model

Model name

api_key

API key

Returns

Self

---

Method with_ollama()

Configure for Ollama

Usage

GraphRAGConfig$with_ollama(
  model = "llama3.2",
  endpoint = "http://localhost:11434"
)

Arguments

model

Model name

endpoint

Endpoint URL

Returns

Self

---

Method clone()

The objects of this class are cloneable with this method.

Usage

GraphRAGConfig$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

## Not run: 
config <- GraphRAGConfig$new(enabled = TRUE)
db <- Vectrix$new("knowledge_base", graphrag_config = config)

## End(Not run)

VectrixDB documentation built on Feb. 20, 2026, 5:09 p.m.