Chandan Rajah crajah
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| package parallelai.loop.api.dao | |
| import java.net.URL | |
| import com.outr.arango.CollectionType._ | |
| import com.outr.arango._ | |
| import com.outr.arango.query._ | |
| import com.outr.arango.transaction.Transaction | |
| import io.youi.net.URL | |
| import parallelai.loop.api.model.dto.Long |
crajah
/ Database.scala
Created
November 7, 2020 17:50
In this example, airports, flights and airportSearch are constructed inside the Graph object. However, I want to be able to create the Graph first then create the Collection[D] on the fly.
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| object database extends Graph(databaseName = "graphTest") { | |
| val airports: DocumentCollection[Airport] = vertex[Airport] | |
| val flights: DocumentCollection[Flight] = edge[Flight] | |
| val airportSearch: View[Airport] = view( | |
| name = "airportSearch", | |
| collection = airports, | |
| analyzers = List(Analyzer.Identity), | |
| includeAllFields = true, | |
| fields = Airport.name -> List(Analyzer.TextEnglish) | |
| ) |
crajah
/ am_launch_dalle.py
Created
September 26, 2022 14:56
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| from sagemaker.huggingface import HuggingFaceModel | |
| from sagemaker.serverless import ServerlessInferenceConfig | |
| import sagemaker | |
| role = sagemaker.get_execution_role() | |
| # Hub Model configuration. https://huggingface.co/models | |
| hub = { | |
| 'HF_MODEL_ID':'dalle-mini/dalle-mini', | |
| 'HF_TASK':'image-classification' | |
| } |
crajah
/ sm_dalle_serverless.py
Created
September 26, 2022 15:03
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| from sagemaker.huggingface import HuggingFaceModel | |
| from sagemaker.serverless import ServerlessInferenceConfig | |
| import sagemaker | |
| role = sagemaker.get_execution_role() | |
| # Hub Model configuration. https://huggingface.co/models | |
| hub = { | |
| 'HF_MODEL_ID':'dalle-mini/dalle-mini', | |
| 'HF_TASK':'image-classification' | |
| } |
crajah
/ invoke_sagemaker_endpoint.py
Created
November 1, 2022 10:06
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| import os | |
| import io | |
| import boto3 | |
| import json | |
| import csv | |
| # Get the Endpoint name form the Environment. | |
| ENDPOINT_NAME = os.environ['ENDPOINT_NAME'] | |
| # Make a SageMaker Runtime reference. |
crajah
/ capability-comparison.csv
Last active
August 25, 2026 19:38
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| GraphRAG | LightRAG 1.5.6 | Graphiti / Zep | post-graph-rag | ||
|---|---|---|---|---|---|
| Community detection + summaries | Yes | No | No | Yes | |
| Bi-temporal model (validity and belief time) | No | No | Yes | Yes | |
| Supersession inferred from document order | No | No | No | Yes | |
| Controlled predicate vocabulary | No | No | No | Yes | |
| Runs on PostgreSQL you already operate | No | partial | No | Yes | |
| Transaction spanning graph and app tables | No | No | No | Yes |
crajah
/ community-detector-comparison.csv
Created
August 11, 2026 21:54
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| Detector | Largest community | Share of graph | |
|---|---|---|---|
| Label propagation | 150 entities | 35% | |
| Leiden, resolution 1.0 | 93 entities | 21% | |
| Leiden, resolution 2.0 | 74 entities | 17% |
crajah
/ lightrag-encyclopedic-prose.csv
Created
August 11, 2026 21:54
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| post-graph-rag | LightRAG 1.5.6 | ||
|---|---|---|---|
| Characters indexed | 66,345 | 75,751 | |
| Indexing time | 3.7 min | 2.0 min | |
| Entities per 10k chars | 78.8 | 59.4 | |
| Relations per 10k chars | 101.1 | 55.6 | |
| Distinct edge labels | 380 | 460 | |
| Labels ÷ relations | 57% | 109% | |
| Query latency (mix / global) | 8.2s / 3.1s | 10.1s / 6.1s |
crajah
/ lightrag-financial-filings.csv
Created
August 11, 2026 21:54
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| post-graph-rag | LightRAG 1.5.6 | ||
|---|---|---|---|
| Entities | 3,078 | 2,832 | |
| Relations | 4,830 | 3,147 | |
| Relations per entity | 1.6 | 1.1 | |
| Labels ÷ relations | 46% | 77% | |
| Relations with stated validity | 845 | not modelled | |
| Relationships superseded | 8 | 0 — unsupported |
crajah
/ lightrag-narrative-prose.csv
Created
August 11, 2026 21:54
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| post-graph-rag | LightRAG 1.5.6 | ||
|---|---|---|---|
| Indexing time | 33.2 min | 24.3 min | |
| Entities | 1,377 | 1,246 | |
| Relations | 3,976 | 1,447 | |
| Relations per entity | 2.9 | 1.2 | |
| Distinct edge labels | 2,287 | 1,923 | |
| Labels ÷ relations | 58% | 133% | |
| Entities carrying aliases | 729 | not modelled | |
| Relationships superseded | 13 | 0 — unsupported |
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