nbits

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

Linked via sameAs to 1 other subject: Bits Per Sub QuantizerReview & merge →

nbits is number-of-bits-per-sub-quantizer.

43 facts·15 predicates·12 sources·4 in dispute

Mostly:rdf:type(11), affects(7), description(3)

Rdf:typein dispute`rdf:type`

Parameter^[1]all time · 49101dfd 4fc4 460c 9cd9 8e0457730c83
Variable^[3]all time · F5f66e1a 01a9 4eb3 81b7 Fc768e5be38a
Parameter^[3]all time · F5f66e1a 01a9 4eb3 81b7 Fc768e5be38a
Index Parameter^[4]all time · 0bca54e2 F808 47ad B21b 1dfd747efe98
Parameter^[5]all time · 27831356 38d9 4289 97d2 9a64e0fff953
Index Parameter^[6]all time · 8bf0c428 Db86 423e B410 Cf1a80b402bc
Index Parameter^[8]all time · 6d298caa Baec 45af 9cad 03ac614affde
Index Parameter^[9]sourceall time · Bd97afa1 16ea 42af 99e4 D1e90ad821ac
Bits Per Sub Quantizer^[9]sourceall time · Bd97afa1 16ea 42af 99e4 D1e90ad821ac
Index Parameter^[10]all time · 6a1b250b 4390 4a0e 80ef 1ef7ebaea52b

Inbound mentions (27)

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.

`hasParameter`Has Parameter(5)

Indexex:index
Indexex:index
Index Ivf Flatex:index-ivf-flat
Index Ivf Pqex:index-ivf-pq
Index Ivfpqex:IndexIVFPQ

`involves`Involves(2)

Accuracy Memory Tradeoffex:accuracy_memory_tradeoff
Tune Index Parametersex:tune-index-parameters

`requires`Requires(2)

Faiss.index Ivfpqex:faiss.IndexIVFPQ
Index Ivf Pqex:index-ivf-pq

`adjusts`Adjusts(1)

Adjust Parametersex:adjust-parameters

`affectedBy`Affected by(1)

Accuracyex:accuracy

`constructorRequires`Constructor Requires(1)

Index Ivfpqex:IndexIVFPQ

`contains`Contains(1)

Parameter Sectionex:parameter_section

`createdWith`Created With(1)

Indexex:index

`createdWithParameters`Created With Parameters(1)

Indexex:index

`equals`Equals(1)

Mex:M

`hasNbitsParameter`Has Nbits Parameter(1)

Faiss Index Ivf Pqex:faiss-index-ivf-pq

`has-parameter`Has Parameter(1)

Efficient Indexing Methodsefficient-indexing-methods

`improvedBy`Improved by(1)

Accuracyex:accuracy

`includes`Includes(1)

Index Parametersex:index-parameters

`increasedBy`Increased by(1)

Memory Usageex:memory_usage

`inverseCreatedWith`Inverse Created With(1)

Indexex:index

`involves-adjusting`Involves Adjusting(1)

Parameter Tuningparameter-tuning

`isAffectedBy`Is Affected by(1)

Accuracyex:accuracy

`isIncreasedBy`Is Increased by(1)

Memory Usageex:memory_usage

`mentionsParameter`Mentions Parameter(1)

Strategy 2 Parameter Tuningex:strategy-2-parameter-tuning

`relatedParameter`Related Parameter(1)

Mex:M

Other facts (27)

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.

27 facts

Predicate	Value	Ref
Affects	Speed	[2]
Affects	Accuracy	[2]
Affects	quantization-precision	[4]
Affects	Accuracy	[5]
Affects	Memory Usage	[5]
Affects	accuracy	[7]
Affects	memory usage	[7]
Description	number-of-bits-per-sub-quantizer	[1]
Description	Number of bits per sub-quantizer	[3]
Description	Number of bits per sub-quantizer	[5]
Has Value	8	[3]
Has Value	8	[7]
Has Value	8	[12]
Controls	Bits Per Sub Quantizer	[5]
Controls	Bits Per Sub Quantizer	[9]
Controls	Quantization Bits	[11]
Represents	Number of bits per sub-quantizer	[7]
Represents	Number of bits per sub-quantizer	[12]
Value	8	[1]
Describes	number-of-bits-per-sub-quantizer	[4]
Belongs to List	Configuration Parameters	[5]
Is Parameter of	Faiss Index Configuration	[5]
Alias	bits per sub-quantizer	[7]
Recommended Range	higher values improve accuracy	[7]
Default Suggested Value	8	[7]
Used in	Index	[11]
Used in Creation of	Index	[12]

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.

43 undated

—

typebeam/49101dfd-4fc4-460c-9cd9-8e0457730c83

ex:Parameter

—

labelbeam/49101dfd-4fc4-460c-9cd9-8e0457730c83

nbits

—

valuebeam/49101dfd-4fc4-460c-9cd9-8e0457730c83

—

descriptionbeam/49101dfd-4fc4-460c-9cd9-8e0457730c83

number-of-bits-per-sub-quantizer

—

affectsbeam/f262ba02-38a8-487c-ac31-f121b18f4323

ex:speed

—

affectsbeam/f262ba02-38a8-487c-ac31-f121b18f4323

ex:accuracy

—

hasValuebeam/f5f66e1a-01a9-4eb3-81b7-fc768e5be38a

—

typebeam/f5f66e1a-01a9-4eb3-81b7-fc768e5be38a

ex:Variable

—

descriptionbeam/f5f66e1a-01a9-4eb3-81b7-fc768e5be38a

Number of bits per sub-quantizer

—

typebeam/f5f66e1a-01a9-4eb3-81b7-fc768e5be38a

ex:Parameter

—

typebeam/0bca54e2-f808-47ad-b21b-1dfd747efe98

ex:IndexParameter

—

labelbeam/0bca54e2-f808-47ad-b21b-1dfd747efe98

nbits

—

describesbeam/0bca54e2-f808-47ad-b21b-1dfd747efe98

number-of-bits-per-sub-quantizer

—

affectsbeam/0bca54e2-f808-47ad-b21b-1dfd747efe98

quantization-precision

—

typebeam/27831356-38d9-4289-97d2-9a64e0fff953

ex:Parameter

—

labelbeam/27831356-38d9-4289-97d2-9a64e0fff953

nbits

—

descriptionbeam/27831356-38d9-4289-97d2-9a64e0fff953

Number of bits per sub-quantizer

—

affectsbeam/27831356-38d9-4289-97d2-9a64e0fff953

ex:accuracy

—

affectsbeam/27831356-38d9-4289-97d2-9a64e0fff953

ex:memory_usage

—

belongsToListbeam/27831356-38d9-4289-97d2-9a64e0fff953

ex:configuration_parameters

—

isParameterOfbeam/27831356-38d9-4289-97d2-9a64e0fff953

ex:faiss_index_configuration

—

controlsbeam/27831356-38d9-4289-97d2-9a64e0fff953

ex:bits_per_sub_quantizer

—

typebeam/8bf0c428-db86-423e-b410-cf1a80b402bc

ex:IndexParameter

—

hasValuebeam/c024e566-7bde-4344-ad2d-cef3f5639007

—

representsbeam/c024e566-7bde-4344-ad2d-cef3f5639007

Number of bits per sub-quantizer

—

affectsbeam/c024e566-7bde-4344-ad2d-cef3f5639007

accuracy

—

affectsbeam/c024e566-7bde-4344-ad2d-cef3f5639007

memory usage

—

aliasbeam/c024e566-7bde-4344-ad2d-cef3f5639007

bits per sub-quantizer

—

recommendedRangebeam/c024e566-7bde-4344-ad2d-cef3f5639007

higher values improve accuracy

—

default suggested valuebeam/c024e566-7bde-4344-ad2d-cef3f5639007

—

typebeam/6d298caa-baec-45af-9cad-03ac614affde

ex:IndexParameter

—

labelbeam/6d298caa-baec-45af-9cad-03ac614affde

nbits

—

typebeam/bd97afa1-16ea-42af-99e4-d1e90ad821ac

ex:IndexParameter

—

typebeam/bd97afa1-16ea-42af-99e4-d1e90ad821ac

ex:BitsPerSubQuantizer

—

controlsbeam/bd97afa1-16ea-42af-99e4-d1e90ad821ac

ex:bits-per-sub-quantizer

—

typebeam/6a1b250b-4390-4a0e-80ef-1ef7ebaea52b

ex:IndexParameter

—

labelbeam/6a1b250b-4390-4a0e-80ef-1ef7ebaea52b

nbits

—

typebeam/411a1538-884c-4c53-bd88-0a36a9406f98

ex:Parameter

—

usedInbeam/411a1538-884c-4c53-bd88-0a36a9406f98

ex:index

—

controlsbeam/411a1538-884c-4c53-bd88-0a36a9406f98

ex:quantization-bits

—

hasValuebeam/f1d44342-2a97-4d27-8633-2b8cdeffb413

—

representsbeam/f1d44342-2a97-4d27-8633-2b8cdeffb413

Number of bits per sub-quantizer

—

usedInCreationOfbeam/f1d44342-2a97-4d27-8633-2b8cdeffb413

ex:index

References (12)

12 references

[1]49101dfd 4fc4 460c 9cd9 8e0457730c834 facts
ctx:claims/beam/49101dfd-4fc4-460c-9cd9-8e0457730c83
- full textbeam-chunk
  text/plain1 KBdoc:beam/49101dfd-4fc4-460c-9cd9-8e0457730c83
  Show excerpt
  - Adjust the search parameters like `efSearch` for `IndexHNSW` to balance between speed and accuracy. ### Example Implementation Here's an optimized version of your code using `IndexIVFPQ` and enabling multi-threading: ```python impor…
[2]F262ba02 38a8 487c Ac31 F121b18f43232 facts
ctx:claims/beam/f262ba02-38a8-487c-ac31-f121b18f4323
[3]F5f66e1a 01a9 4eb3 81b7 Fc768e5be38a4 facts
ctx:claims/beam/f5f66e1a-01a9-4eb3-81b7-fc768e5be38a
- full textbeam-chunk
  text/plain1 KBdoc:beam/f5f66e1a-01a9-4eb3-81b7-fc768e5be38a
  Show excerpt
  M = 8 # Number of sub-quantizers nbits = 8 # Number of bits per sub-quantizer index = faiss.IndexIVFPQ(quantizer, 128, nlist, M, nbits) # Train the index index.train(vectors) # Add vectors to the index index.add(vectors) # Search for n…
[4]0bca54e2 F808 47ad B21b 1dfd747efe984 facts
ctx:claims/beam/0bca54e2-f808-47ad-b21b-1dfd747efe98
[5]27831356 38d9 4289 97d2 9a64e0fff9538 facts
ctx:claims/beam/27831356-38d9-4289-97d2-9a64e0fff953
- full textbeam-chunk
  text/plain1 KBdoc:beam/27831356-38d9-4289-97d2-9a64e0fff953
  Show excerpt
  - `nlist`: Number of clusters. A higher value can improve accuracy but also increases memory usage. - `M`: Number of sub-quantizers. A higher value can improve accuracy but also increases memory usage. - `nbits`: Number of bits per…
[6]8bf0c428 Db86 423e B410 Cf1a80b402bc1 fact
ctx:claims/beam/8bf0c428-db86-423e-b410-cf1a80b402bc
- full textbeam-chunk
  text/plain1 KBdoc:beam/8bf0c428-db86-423e-b410-cf1a80b402bc
  Show excerpt
  [Turn 6397] Assistant: Certainly! To achieve a 35% better focus in your dense search goals, you can refine your retrieval pipeline by optimizing the indexing and search processes. Here are some strategies and adjustments to your code to hel…
[7]C024e566 7bde 4344 Ad2d Cef3f56390077 facts
ctx:claims/beam/c024e566-7bde-4344-ad2d-cef3f5639007
- full textbeam-chunk
  text/plain1 KBdoc:beam/c024e566-7bde-4344-ad2d-cef3f5639007
  Show excerpt
  vectors = np.random.rand(100000, 128).astype('float32') # Set the number of threads for parallel processing faiss.omp_set_num_threads(8) # Adjust based on your CPU cores # Create a quantizer quantizer = faiss.IndexFlatL2(128) # Create a…
[8]6d298caa Baec 45af 9cad 03ac614affde2 facts
ctx:claims/beam/6d298caa-baec-45af-9cad-03ac614affde
- full textbeam-chunk
  text/plain1 KBdoc:beam/6d298caa-baec-45af-9cad-03ac614affde
  Show excerpt
  **Potential Roadblock**: As the dataset grows, the indexing and search operations can become slower and more resource-intensive. **Solution**: - **Use Efficient Indexing Methods**: Consider using `IndexIVFPQ` or `IndexHNSW` for better perf…
[9]Bd97afa1 16ea 42af 99e4 D1e90ad821ac3 facts
ctx:claims/beam/bd97afa1-16ea-42af-99e4-d1e90ad821ac
- full textbeam-chunk
  text/plain1 KBdoc:beam/bd97afa1-16ea-42af-99e4-d1e90ad821ac
  Show excerpt
  - **Use Approximate Methods**: Use `IndexIVFPQ` or `IndexHNSW` to find a balance between speed and accuracy. ### Example Implementation Here's an optimized version of your code that addresses these potential roadblocks: ```python import …
[10]6a1b250b 4390 4a0e 80ef 1ef7ebaea52b2 facts
ctx:claims/beam/6a1b250b-4390-4a0e-80ef-1ef7ebaea52b
- full textbeam-chunk
  text/plain1 KBdoc:beam/6a1b250b-4390-4a0e-80ef-1ef7ebaea52b
  Show excerpt
  - Ensure that your system has enough memory to handle the dataset and indexing process. - Use tools like `htop` or `top` on Linux to monitor memory usage. 2. **Use More Efficient Indexing Methods** - Consider using approximate nea…
[11]411a1538 884c 4c53 Bd88 0a36a9406f983 facts
ctx:claims/beam/411a1538-884c-4c53-bd88-0a36a9406f98
- full textbeam-chunk
  text/plain1 KBdoc:beam/411a1538-884c-4c53-bd88-0a36a9406f98
  Show excerpt
  - `faiss.omp_set_num_threads(8)` enables multi-threading to take advantage of multiple CPU cores. Adjust the number of threads based on your CPU capabilities. 4. **Training the Index**: - The index needs to be trained on the data bef…
[12]F1d44342 2a97 4d27 8633 2b8cdeffb4133 facts
ctx:claims/beam/f1d44342-2a97-4d27-8633-2b8cdeffb413
- full textbeam-chunk
  text/plain1 KBdoc:beam/f1d44342-2a97-4d27-8633-2b8cdeffb413
  Show excerpt
  M = 8 # Number of sub-quantizers nbits = 8 # Number of bits per sub-quantizer index = faiss.IndexIVFPQ(quantizer, 128, nlist, M, nbits) try: # Train the index index.train(vectors) except Exception as e: logging.error(f"Error …

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nbits

Rdf:typein disputerdf:type

Inbound mentions (27)

hasParameterHas Parameter(5)

involvesInvolves(2)

requiresRequires(2)

adjustsAdjusts(1)

affectedByAffected by(1)

constructorRequiresConstructor Requires(1)

containsContains(1)

createdWithCreated With(1)

createdWithParametersCreated With Parameters(1)

equalsEquals(1)

hasNbitsParameterHas Nbits Parameter(1)

has-parameterHas Parameter(1)

improvedByImproved by(1)

includesIncludes(1)

increasedByIncreased by(1)

inverseCreatedWithInverse Created With(1)

involves-adjustingInvolves Adjusting(1)

isAffectedByIs Affected by(1)

isIncreasedByIs Increased by(1)

mentionsParameterMentions Parameter(1)

relatedParameterRelated Parameter(1)

Other facts (27)

Timeline

References (12)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`hasParameter`Has Parameter(5)

`involves`Involves(2)

`requires`Requires(2)

`adjusts`Adjusts(1)

`affectedBy`Affected by(1)

`constructorRequires`Constructor Requires(1)

`contains`Contains(1)

`createdWith`Created With(1)

`createdWithParameters`Created With Parameters(1)

`equals`Equals(1)

`hasNbitsParameter`Has Nbits Parameter(1)

`has-parameter`Has Parameter(1)

`improvedBy`Improved by(1)

`includes`Includes(1)

`increasedBy`Increased by(1)

`inverseCreatedWith`Inverse Created With(1)

`involves-adjusting`Involves Adjusting(1)

`isAffectedBy`Is Affected by(1)

`isIncreasedBy`Is Increased by(1)

`mentionsParameter`Mentions Parameter(1)

`relatedParameter`Related Parameter(1)