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feat: Neo4j vector index method support #1111

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Merged
merged 4 commits into from
Oct 10, 2025
Merged

feat: Neo4j vector index method support #1111

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0da98f9
feat: Neo4j vector index method support
belloibrahv Oct 2, 2025
c37b57c
feat: integrate Ollama for LLM tasks to enable on-premises testing
belloibrahv Oct 4, 2025
da71d00
Simplify Neo4j vector index
belloibrahv Oct 8, 2025
6ba1167
Fix: Refactor LLM usage and update Neo4j vector index
belloibrahv Oct 9, 2025
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20 changes: 16 additions & 4 deletions examples/docs_to_knowledge_graph/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -82,9 +82,15 @@ def docs_to_kg_flow(
cocoindex.functions.ExtractByLlm(
llm_spec=cocoindex.LlmSpec(
# Supported LLM: https://cocoindex.io/docs/ai/llm
api_type=cocoindex.LlmApiType.OPENAI,
model="gpt-4o",
api_type=cocoindex.LlmApiType.OLLAMA,
model="llama3.2",
address="http://localhost:11434",
),
# Alternative: Use OpenAI API model instead of Ollama
# llm_spec=cocoindex.LlmSpec(
# api_type=cocoindex.LlmApiType.OPENAI,
# model="gpt-4o",
# ),
output_type=DocumentSummary,
instruction="Please summarize the content of the document.",
)
Expand All @@ -100,9 +106,15 @@ def docs_to_kg_flow(
cocoindex.functions.ExtractByLlm(
llm_spec=cocoindex.LlmSpec(
# Supported LLM: https://cocoindex.io/docs/ai/llm
api_type=cocoindex.LlmApiType.OPENAI,
model="gpt-4o",
api_type=cocoindex.LlmApiType.OLLAMA,
model="llama3.2",
address="http://localhost:11434",
),
# Alternative: Use OpenAI API model instead of Ollama
# llm_spec=cocoindex.LlmSpec(
# api_type=cocoindex.LlmApiType.OPENAI,
# model="gpt-4o",
# ),
output_type=list[Relationship],
instruction=(
"Please extract relationships from CocoIndex documents. "
Expand Down
2 changes: 1 addition & 1 deletion src/base/spec.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -384,7 +384,7 @@ impl fmt::Display for VectorSimilarityMetric {
}
}

#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(tag = "kind")]
pub enum VectorIndexMethod {
Hnsw {
Expand Down
37 changes: 31 additions & 6 deletions src/ops/targets/neo4j.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -568,9 +568,6 @@ impl SetupState {
.map(|f| (f.name.as_str(), &f.value_type.typ))
.collect::<HashMap<_, _>>();
for index_def in index_options.vector_indexes.iter() {
if index_def.method.is_some() {
api_bail!("Vector index method is not configurable for Neo4j yet");
}
sub_components.push(ComponentState {
object_label: schema.elem_type.clone(),
index_def: IndexDef::from_vector_index_def(
Expand All @@ -583,6 +580,7 @@ impl SetupState {
index_def.field_name
)
})?,
index_def.method.clone(),
)?,
});
}
Expand Down Expand Up @@ -644,14 +642,20 @@ enum IndexDef {
field_name: String,
metric: spec::VectorSimilarityMetric,
vector_size: usize,
method: Option<spec::VectorIndexMethod>,
},
}

impl IndexDef {
fn from_vector_index_def(
index_def: &spec::VectorIndexDef,
field_typ: &schema::ValueType,
_method: Option<spec::VectorIndexMethod>,
) -> Result<Self> {
let method = index_def.method.clone();
if let Some(spec::VectorIndexMethod::IvfFlat { .. }) = method {
api_bail!("IVFFlat vector index method is not supported for Neo4j");
}
Ok(Self::VectorIndex {
field_name: index_def.field_name.clone(),
vector_size: (match field_typ {
Expand All @@ -664,6 +668,7 @@ impl IndexDef {
api_error!("Vector index field must be a vector with fixed dimension")
})?,
metric: index_def.metric,
method,
})
}
}
Expand Down Expand Up @@ -723,9 +728,14 @@ impl components::SetupOperator for SetupComponentOperator {
field_name,
metric,
vector_size,
method,
} => {
let method_str = method
.as_ref()
.map(|m| format!(", method: {}", m))
.unwrap_or_default();
format!(
"{key_desc} ON {label} (field_name: {field_name}, vector_size: {vector_size}, metric: {metric})",
"{key_desc} ON {label} (field_name: {field_name}, vector_size: {vector_size}, metric: {metric}{method_str})",
)
}
}
Expand All @@ -752,17 +762,32 @@ impl components::SetupOperator for SetupComponentOperator {
field_name,
metric,
vector_size,
method,
} => {
let mut parts = vec![];

parts.push(format!("`vector.dimensions`: {}", vector_size));
parts.push(format!("`vector.similarity_function`: '{}'", metric));

if let Some(spec::VectorIndexMethod::Hnsw { m, ef_construction }) = method {
if let Some(m_val) = m {
parts.push(format!("`vector.hnsw.m`: {}", m_val));
}
if let Some(ef_val) = ef_construction {
parts.push(format!("`vector.hnsw.ef_construction`: {}", ef_val));
}
}

formatdoc! {"
CREATE VECTOR INDEX {name} IF NOT EXISTS
FOR {matcher} ON {qualifier}.{field_name}
OPTIONS {{
indexConfig: {{
`vector.dimensions`: {vector_size},
`vector.similarity_function`: '{metric}'
{config}
}}
}}",
name = key.name,
config = parts.join(", ")
}
}
});
Expand Down