From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Ef Search has 44 facts recorded in Dontopedia across 9 references, with 8 live disagreements.
Mostly:rdf:type(8), rdfs:label(4), affects(4)
rdfs:labelhasValueaffectsbalancesappliesTocreatesTradeOffBetweeneffectOfLowerValueparameterTypetunespurposeOther 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.
hasParameterHas Parameter(7)ex:faiss-1.7.4ex:HNSWex:index-hnswex:IndexHNSWex:IndexHNSWex:search-phaseex:searchPhaseaffectedByAffected by(2)ex:accuracyex:searchSpeeddescribesDescribes(2)ex:explanationSectionex:sourceDocumenthasEfSearchHas Ef Search(2)ex:hnswex:hnsw-indexinvolvesInvolves(2)ex:optimize-search-parametersex:parameterTuningusesParameterUses Parameter(2)ex:faissex:searchPhaseappliesToApplies to(1)ex:parameter-adjustmenthas search parameterHas Search Parameter(1)ex:IndexHNSWhasTunableParameterHas Tunable Parameter(1)ex:IndexHNSWrelatedParameterRelated Parameter(1)ex:efConstructionrequiresRequires(1)ex:index-hnswThe 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 |
|---|---|---|
| Specific to | Hnsw Index | [1] |
| Controls | Number of Neighbors During Search | [1] |
| Has Default Value | 64 | [1] |
| Controls Phase | Search Phase | [1] |
| Used in | Faiss | [2] |
| Is Parameter | Parameter | [2] |
| Typical Value | 64 | [2] |
| Description | controls the number of neighbors to consider during the search phase | [2] |
| Used in Example | Example Implementation | [7] |
| Default Value | 64 | [7] |
| Higher Value | Increased Accuracy | [3] |
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.
doc:beam/8e356af0-5214-4a1f-8615-f270ae5ec1c9- `efConstruction` and `efSearch` parameters control the construction and search phases, respectively. 2. **IVFPQ Index**: - `IndexIVFPQ`: Creates an IVFPQ index with a specified number of clusters (`nlist`), subquantizers (`m`), and…
doc:beam/05970489-d0ac-4332-acb3-da3b56efd23dfaiss.normalize_L2(query_vector) # Search for similar vectors distances, indices = index.search(query_vector.reshape(1, -1), k) return distances, indices # Test the function query_vector = np.random.rand(128).asty…
doc:beam/8bf0c428-db86-423e-b410-cf1a80b402bc[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…
doc:beam/27831356-38d9-4289-97d2-9a64e0fff953- `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…
doc:beam/f9d7604e-d22e-4ead-884d-c0c9204f8d523. **Multi-threading**: - `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…
doc:beam/24609436-74f2-4564-988e-86e3e75d7114If your vectors have a relatively low dimensionality (e.g., less than 128), you can use `IndexHNSWFlat` instead of `IndexHNSW`. This can be faster since it avoids the overhead of the hierarchical structure. ### 4. **Optimize Construction P…
doc:beam/ea1c880d-666a-428b-9f18-ae4bdd751abeindex = faiss.IndexHNSWFlat(128, M) index.hnsw.efConstruction = efConstruction index.hnsw.efSearch = efSearch index.add(vectors) # Measure initial performance start_time = time.time() distances, indices = search_similar_vectors(query_vecto…
doc:beam/3c7c96d1-549b-4085-8bd9-152174bddc1f- `efConstruction`: Construction parameter. - `efSearch`: Search parameter. 3. **Multi-threading**: - `faiss.omp_set_num_threads(8)` enables multi-threading to take advantage of multiple CPU cores. 4. **Adding Vectors**: - Vec…
Dontopedia is in a read-only public launch. Follow the references and disputed branches now; contributions will open after durable identity and moderation are in place.