graphrag-core 0.2.0

Core portable library for GraphRAG - works on native and WASM
Documentation 
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# GraphRAG Quick Start Configuration
# Minimal configuration to get started with advanced features

output_dir = "output"
chunk_size = 400
chunk_overlap = 50
approach = "semantic"

# ============================================================================
# ENABLE KEY ADVANCED FEATURES
# ============================================================================

[entities]
min_confidence = 0.5
use_gleaning = true
enable_triple_reflection = true   # Validate relationships for quality

[advanced_features.symbolic_anchoring]
# Auto-enabled for conceptual queries - no config needed

[advanced_features.dynamic_weighting]
# All boosting enabled by default for better retrieval
enable_semantic_boost = true
enable_temporal_boost = true
enable_concept_boost = true
enable_causal_boost = true

[advanced_features.causal_analysis]
# Enable multi-step causal reasoning
min_confidence = 0.3
max_chain_depth = 5
require_temporal_consistency = true

# ============================================================================
# BASIC CONFIGURATION
# ============================================================================

[embeddings]
model = "nomic-embed-text"
dimension = 768
api_endpoint = "http://localhost:11434"

[graph]
max_connections = 10
similarity_threshold = 0.7
extract_relationships = true

[retrieval]
top_k = 10
search_algorithm = "hybrid"

[ollama]
host = "http://localhost:11434"
model = "llama3.2"
embedding_model = "nomic-embed-text"

[parallel]
enabled = true
num_threads = 4

# ============================================================================
# NEXT STEPS
# ============================================================================

# 1. For hierarchical clustering, call:
#    graph.build_relationship_hierarchy(3)?;
#
# 2. For weight optimization, use:
#    let optimizer = GraphWeightOptimizer::new(config);
#    optimizer.optimize_weights(&mut graph, &test_queries)?;
#
# 3. For atomic fact extraction, add:
#    [entities]
#    use_atomic_facts = true
#
# 4. See advanced-features.toml for full configuration options