Metadata Filtering

# Example data in the format:
# [{id: int, vector: List[float], metadata: Dict)]
data = [
    {"id": "item_1", "vector": [0.1, 0.1, 0.1, 0.1], "metadata": {"category": "dog"}},
    {"id": "item_2", "vector": [0.2, 0.2, 0.2, 0.2], "metadata": {"category": "cat"}}
]

# Upsert data with metadata
index.upsert(data)

// Example data
std::vector<std::string> ids = {"item_1", "item_2"};
cyborg::Array2D<float> vectors{{0.1, 0.1, 0.1, 0.1}, {0.2, 0.2, 0.2, 0.2}};
std::vector<std::string> metadata = {R"({"category": "dog"})", R"({"category": "cat"})"};

// Upsert data with metadata
index->Upsert(ids, vectors, {}, metadata);

# Example query
query_vectors = [0.5, 0.9, 0.2, 0.7]
top_k = 10

# Example filters
filters = {
    "category": {"$in": ["dog", "cat"]} # Will match either 'dog' or 'cat'
}

# Perform query
results = index.query(query_vectors=query_vectors, top_k=top_k, filters=filters)

// Example query
cyborg::Array2D<float> query_vectors{{0.5, 0.9, 0.2, 0.7}};
int top_k = 10;

// Example filters
std::string filters = R"({"category": {"$in": ["dog", "cat"]}})";

// Create QueryParams
cyborg::QueryParams query_params(top_k);
query_params.filters = filters;

// Perform query
cyborg::QueryResults results = index->Query(query_vectors, query_params);