indexing_time
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
indexing_time is The time it takes to build the index from raw data..
Mostly:rdf:type(12), has value for(6), measures(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Performance Metric[1]all time · 9f797393 50e3 41f0 A90a Ffaea027f129
- Performance Metric[2]all time · 7fe8a152 F4b0 4ead 886d 12532ab7dcc3
- Performance Metric[3]all time · 9423e542 Ef27 4b6c 82c7 F95a6bf87bd7
- Performance Metric[4]all time · 0e56e8f7 6bb5 47d4 Bd16 A0b896835d01
- Performance Metric[5]sourceall time · 692b18d5 3f23 4553 A43b Eff0a0815c04
- Performance Metric[6]all time · D26a5287 Fb4f 4619 B610 Ba0ca857b51f
- Metric[7]all time · 1ff666a3 024a 43b9 A61b 238256feb9fd
- Performance Metric[8]all time · 4c0b780e 77bc 43f6 89c0 9fc02ba7ab53
- Metric[9]all time · 82230382 8bc4 4da4 8f74 B604a44e2862
- Performance Metric[10]all time · 5e937662 Abc6 4623 B5b6 7b168728e324
Inbound mentions (29)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
measuresMeasures(4)
- Benchmark Script
ex:benchmark-script - Faiss Index Time
ex:faiss_index_time - Indexing Performance
ex:indexing-performance - Weaviate Index Time
ex:weaviate_index_time
hasMemberHas Member(3)
- 9 Metrics
ex:9-metrics - Performance Metrics
ex:performance-metrics - Performance Metrics Category
ex:performance-metrics-category
containsMetricContains Metric(2)
- Additional Performance Metrics
ex:additional-performance-metrics - Additional Performance Metrics Section
ex:additional-performance-metrics-section
measuredByMeasured by(2)
- Faiss 1 7 3
ex:faiss-1-7-3 - Milvus 2 3 0
ex:milvus-2-3-0
calculatesCalculates(1)
- Evaluate Database Function
ex:evaluate-database-function
comparesMetricsCompares Metrics(1)
- Performance Comparison
ex:performance-comparison
computesComputes(1)
- Evaluate Database Function
ex:evaluate-database-function
containsContains(1)
- Metrics List
ex:metrics-list
containsElementContains Element(1)
- Metrics
ex:metrics
describedByDescribed by(1)
- Indexing Performance
ex:indexing-performance
hasMetricHas Metric(1)
- Evaluation Metrics
ex:evaluation-metrics
hasOrderedMemberHas Ordered Member(1)
- Additional Performance Metrics Section
ex:additional-performance-metrics-section
includesQuantitativeMetricIncludes Quantitative Metric(1)
- Evaluation Metrics
ex:evaluation-metrics
includesTemporalMetricIncludes Temporal Metric(1)
- Additional Performance Metrics
ex:additional-performance-metrics
mapsToMaps to(1)
- Indexing Time Key
ex:indexing-time-key
measures-metricsMeasures Metrics(1)
- Benchmarking Script
ex:benchmarking-script
monitorsMonitors(1)
- Indexing Latency
ex:indexing-latency
orderedSuggestionOrdered Suggestion(1)
- Assistant
ex:assistant
printsPrints(1)
- Index Documents Function
ex:index-documents-function
secondElementSecond Element(1)
- Metrics Output Sequence
ex:metrics-output-sequence
storesStores(1)
- Results Dictionary
ex:results-dictionary
suggestedMetricSuggested Metric(1)
- Assistant
ex:assistant
Other facts (26)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Has Value for | Milvus 2 3 0 | [3] |
| Has Value for | Faiss 1 7 3 | [3] |
| Has Value for | Annoy 1 18 0 | [3] |
| Has Value for | Hnswlib 0 9 2 | [3] |
| Has Value for | Qdrant 0 8 1 | [3] |
| Has Value for | Weaviate 1 14 0 | [3] |
| Measures | Indexing Time for Vectors | [1] |
| Measures | Index Construction | [5] |
| Measures | Index Construction | [8] |
| Has Variant | Weaviate Index Time | [11] |
| Has Variant | Faiss Index Time | [11] |
| Has Unit | ms | [1] |
| Measurement Purpose | New Vector Indexing | [1] |
| Unit | milliseconds | [3] |
| Fully Populated | true | [3] |
| Description | The time it takes to build the index from raw data. | [4] |
| Defined As | time taken to build the index from raw data | [5] |
| Ordinal Position | 2 | [5] |
| Measures Duration | Construction Process | [8] |
| Correlates With | Search Time | [8] |
| Is Part of | Performance Metrics | [9] |
| Is Stored in | Results Dictionary | [9] |
| Is Computed by | Evaluate Database Function | [9] |
| Maps to | Indexing Time Key | [9] |
| Is Calculated As | Time Difference | [13] |
| Is Printed in | Index Documents Function | [13] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (13)
ctx:claims/beam/9f797393-50e3-41f0-a90a-ffaea027f129- full textbeam-chunktext/plain1 KB
doc:beam/9f797393-50e3-41f0-a90a-ffaea027f129Show excerpt
'storage_efficiency': storage_efficiency, 'scalability': scalability, 'ease_of_use': ease_of_use, 'cost': cost } for library, metrics in results.items(): print(f"Library: {library}") print(f"Sear…
ctx:claims/beam/7fe8a152-f4b0-4ead-886d-12532ab7dcc3- full textbeam-chunktext/plain1 KB
doc:beam/7fe8a152-f4b0-4ead-886d-12532ab7dcc3Show excerpt
8. **Ease of Integration**: How easy it is to integrate the database into your existing system. 9. **Community Support**: The level of community support and documentation available. 10. **Cost**: The financial cost associated with using the…
ctx:claims/beam/9423e542-ef27-4b6c-82c7-f95a6bf87bd7- full textbeam-chunktext/plain1 KB
doc:beam/9423e542-ef27-4b6c-82c7-f95a6bf87bd7Show excerpt
matrix.loc['Qdrant 0.8.1', 'search_time'] = 190 matrix.loc['Weaviate 1.14.0', 'search_time'] = 210 # Add more sample data for other metrics matrix.loc['Milvus 2.3.0', 'index_size'] = 1000 matrix.loc['Faiss 1.7.3', 'index_size'] = 1200 matr…
ctx:claims/beam/0e56e8f7-6bb5-47d4-bd16-a0b896835d01- full textbeam-chunktext/plain1 KB
doc:beam/0e56e8f7-6bb5-47d4-bd16-a0b896835d01Show excerpt
matrix.loc['Faiss 1.7.3', 'search_time'] = 200 matrix.loc['Annoy 1.18.0', 'search_time'] = 250 matrix.loc['Hnswlib 0.9.2', 'search_time'] = 220 matrix.loc['Qdrant 0.8.1', 'search_time'] = 190 matrix.loc['Weaviate 1.14.0', 'search_time'] = 2…
ctx:claims/beam/692b18d5-3f23-4553-a43b-eff0a0815c04- full textbeam-chunktext/plain1 KB
doc:beam/692b18d5-3f23-4553-a43b-eff0a0815c04Show excerpt
How can I expand this matrix to cover more performance metrics and make a more informed decision? ->-> 3,3 [Turn 2211] Assistant: To expand your comparison matrix and make a more informed decision about which sparse retrieval engine to use…
ctx:claims/beam/d26a5287-fb4f-4619-b610-ba0ca857b51f- full textbeam-chunktext/plain1 KB
doc:beam/d26a5287-fb4f-4619-b610-ba0ca857b51fShow excerpt
matrix.loc['Dense Passage Retriever', 'f1_score'] = .72 matrix.loc['Sparse Retrieval', 'f1_score'] = 0.92 matrix.loc['Faiss', 'f1_score'] = 0.62 matrix.loc['Hnswlib', 'f1_score'] = 0.82 matrix.loc['Qdrant', 'f1_score'] = 0.72 matrix.loc['D…
ctx:claims/beam/1ff666a3-024a-43b9-a61b-238256feb9fd- full textbeam-chunktext/plain1 KB
doc:beam/1ff666a3-024a-43b9-a61b-238256feb9fdShow excerpt
matrix.loc['Weaviate 1.14.0', 'indexing_time'] = 360 matrix.loc['Milvus 2.3.0', 'memory_usage'] = 500 matrix.loc['Faiss 1.7.3', 'memory_usage'] = 550 matrix.loc['Annoy 1.18.0', 'memory_usage'] = 600 matrix.loc['Hnswlib 0.9.2', 'memory_usag…
ctx:claims/beam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53- full textbeam-chunktext/plain1 KB
doc:beam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53Show excerpt
matrix = pd.DataFrame(index=databases, columns=metrics) # Fill in the matrix with sample data matrix.loc['Milvus 2.3.0', 'search_time'] = 180 matrix.loc['Faiss 1.7.3', 'search_time'] = 200 matrix.loc['Annoy 1.18.0', 'search_time'] = 250 ma…
ctx:claims/beam/82230382-8bc4-4da4-8f74-b604a44e2862- full textbeam-chunktext/plain1 KB
doc:beam/82230382-8bc4-4da4-8f74-b604a44e2862Show excerpt
16. **Security Features**: Availability of security features such as encryption, access control, etc. ### Improved Evaluation Script Here's an improved version of your evaluation script that includes more comprehensive metrics and a struct…
ctx:claims/beam/5e937662-abc6-4623-b5b6-7b168728e324- full textbeam-chunktext/plain1 KB
doc:beam/5e937662-abc6-4623-b5b6-7b168728e324Show excerpt
print(f"Weaviate time: {weaviate_time} seconds") print(f"FAISS time: {faiss_time} seconds") ``` ->-> 5,10 [Turn 4941] Assistant: Certainly! To properly benchmark Weaviate and FAISS, you'll want to measure both the indexing time and the sea…
ctx:claims/beam/7a9ac19a-33f6-4bf6-abb1-90a9206a55a1ctx:claims/beam/cc7f1022-6680-4382-82c0-198c5bd4b914- full textbeam-chunktext/plain1 KB
doc:beam/cc7f1022-6680-4382-82c0-198c5bd4b914Show excerpt
To ensure your queries are performing optimally, consider the following: 1. **Timeouts**: Set appropriate timeouts for your queries. 2. **Scroll API**: Use the Scroll API for large result sets to avoid overwhelming the cluster. ### Exampl…
ctx:claims/beam/db3d2131-4d92-4987-a533-fcf237e4ca37- full textbeam-chunktext/plain1 KB
doc:beam/db3d2131-4d92-4987-a533-fcf237e4ca37Show excerpt
By addressing these points, you can ensure that your implementation meets GDPR compliance requirements and is more secure. [Turn 8700] User: I'm trying to boost the throughput of my indexing system to handle 600 docs/sec, up from 400. I've…
See also
- Performance Metric
- Indexing Time for Vectors
- New Vector Indexing
- Milvus 2 3 0
- Faiss 1 7 3
- Annoy 1 18 0
- Hnswlib 0 9 2
- Qdrant 0 8 1
- Weaviate 1 14 0
- Index Construction
- Metric
- Construction Process
- Search Time
- Performance Metrics
- Results Dictionary
- Evaluate Database Function
- Indexing Time Key
- Performance Metric
- Weaviate Index Time
- Faiss Index Time
- Latency Metric
- Time Difference
- Index Documents Function
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