Build spend analytics and dashboards from Qdrant vector data. Covers bulk scroll extraction, aggregation patterns, vendor grouping, and Chart.js visualization. Use when building analytics features, aggregating procurement data, or creating dashboards.
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Patterns for extracting and aggregating data from Qdrant collections for analytics dashboards.
Iterate all records for aggregation:
all_records = []
next_offset = None
while True:
records, next_offset = client.scroll(
collection_name="DocumentChunk_text",
limit=100,
offset=next_offset,
with_payload=True,
scroll_filter=models.Filter(
must=[
models.FieldCondition(
key="doc_type",
match=models.MatchValue(value="invoice"),
)
]
),
)
all_records.extend(records)
if next_offset is None:
break
Group search results by vendor for comparison:
results = client.query_points_groups(
collection_name="DocumentChunk_text",
query=embedding_vector,
group_by="vendor_name",
limit=10, # number of groups
group_size=5, # results per group
)
for group in results.groups:
vendor = group.id
hits = group.hits
Extract payloads and aggregate in Python:
from collections import defaultdict
vendor_spend = defaultdict(float)
for record in all_records:
payload = record.payload
vendor = payload.get("vendor_name", "Unknown")
amount = float(payload.get("amount", 0))
vendor_spend[vendor] += amount
# Sort by spend
top_vendors = sorted(vendor_spend.items(), key=lambda x: x[1], reverse=True)
Return aggregated data as JSON for Chart.js:
@app.get("/api/analytics")
async def analytics():
records = scroll_all_records("DocumentChunk_text", doc_type="invoice")
return {
"total_spend": sum(r.payload.get("amount", 0) for r in records),
"invoice_count": len(records),
"by_vendor": aggregate_by_field(records, "vendor_name", "amount"),
"by_month": aggregate_by_field(records, "month", "amount"),
}
| Need | Pattern |
|---|---|
| Total spend across all invoices | Scroll all + sum amounts |
| Top vendors by spend | Scroll + groupby vendor + sort |
| Monthly trends | Scroll + groupby month + sort by date |
| Semantic search within analytics | Query API + filters |
| Vendor-grouped search results | Group API with group_by="vendor_name" |
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