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[]
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logn | MuleSoft Documentation
# logn ## logn(a: Number): Number | NaN Returns the natural logarithm (base `e`) of a number. If the input value is less than or equal to zero, the result is `NaN` (or `null`). _Introduced in DataWeave version 2.4.0._ ### Parameters Name | Description ---|--- Number to convert into its natural logarithm. ### Example This example shows how `logn` behaves with different inputs. #### Source ``` %dw 2.0 import * from dw::util::Math output application/json --- { "logn10": logn(10), "logn13": logn(0.13), "logn-20": logn(-20) } ``` #### Output ``` { "logn10": 2.302585092994046, "logn13": -2.0402208285265546, "logn-20": null } ```
0
https://docs.mulesoft.com/dataweave/latest/dw-math-functions-logn
[]
mulesoft
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0181a5cc-1889-450b-8331-8c9192777dc7
chunk_fe2f6df96608_0
[ -0.027492066845297813, -0.007407291326671839, -0.01326452661305666, -0.006348635535687208, -0.018191726878285408, -0.0363306850194931, -0.0175717044621706, 0.05097377300262451, 0.011615529656410217, -0.011991500854492188, 0.026146484538912773, -0.01721552200615406, -0.026463093236088753, 0...
[]
[]
MD5 | MuleSoft Documentation
# MD5 ## MD5(content: Binary): String Computes the MD5 hash and transforms the binary result into a hexadecimal lower case string. ### Parameters Name | Description ---|--- A binary input value to encrypt. ### Example This example uses the MD5 algorithm to encrypt a binary value. #### Source ``` %dw 2.0 import dw::Crypto output application/json --- { "md5" : Crypto::MD5("asd" as Binary) } ``` #### Output ``` { "md5": "7815696ecbf1c96e6894b779456d330e" } ```
0
https://docs.mulesoft.com/dataweave/latest/dw-crypto-functions-md5
[]
mulesoft
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4997cd7c-df13-4ef1-bb74-46a5c297d4d1
chunk_b8a7382b47f4_0
[ 0.02353515289723873, -0.050013888627290726, -0.012462964281439781, -0.019254807382822037, 0.0333515927195549, 0.030218973755836487, -0.0006666943081654608, 0.052417363971471786, 0.007338700816035271, -0.009816440753638744, 0.04731335490942001, -0.010943913832306862, -0.02843662165105343, -...
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[]
Amazon SQS Connector 5.11 Reference | MuleSoft Documentation
"| Time unit for the **Visibility Timeout** field. \n**Preserve Messages** | Preserve messages af(...TRUNCATED)
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https://docs.mulesoft.com/amazon-sqs-connector/latest/amazon-sqs-connector-reference
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mulesoft
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[]
Deployment Map | MuleSoft Documentation
"# Deployment Map\nThe deployment map shows the current status of the run configurations. The deploy(...TRUNCATED)
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https://docs.mulesoft.com/rpa-manager/processoperations-deploymentmap
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mulesoft
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Box Connector Reference 5.3 | MuleSoft Documentation
"## Associated Sources\n * On Download File Trigger\n * On New File in Folder\n * * On New Task(...TRUNCATED)
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https://docs.mulesoft.com/box-connector/latest/box-connector-reference
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mulesoft
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[]
XML Module 1.3 | MuleSoft Documentation
"# XML Module 1.3\nThe XML Module process and extracts data from an XML document. Although DataWeave(...TRUNCATED)
0
https://docs.mulesoft.com/xml-module/1.3/
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mulesoft
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[]
File Connector | MuleSoft Documentation
"# File Connector\nFile Connector v1.4\nAnypoint Connector for File (File Connector) handles files a(...TRUNCATED)
0
https://docs.mulesoft.com/file-connector/1.4/
[]
mulesoft
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f99bf417-97f4-40da-9a02-2831e94a4f52
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[-0.010473428294062614,-0.008752581663429737,-0.002232650062069297,0.016585400328040123,-0.013729685(...TRUNCATED)
[]
[]
FTP Connector | MuleSoft Documentation
"# FTP Connector\nSupport Category: Select\nAnypoint Connector for FTP (FTP Connector) provides acce(...TRUNCATED)
0
https://docs.mulesoft.com/ftp-connector/1.7/
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mulesoft
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[]
Jira Connector 1.2 Reference | MuleSoft Documentation
"| A retry strategy in case of connectivity errors \n### Output\n**Attributes Type** | Http Respon(...TRUNCATED)
32
https://docs.mulesoft.com/jira-connector/latest/jira-connector-reference
[]
mulesoft
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[]
Configure the Quality of Service for MQTT Connector | MuleSoft Documentation
"# Configure the Quality of Service for MQTT Connector\nThe MQTT protocol enables you to specify lev(...TRUNCATED)
0
https://docs.mulesoft.com/mqtt3-connector/latest/mqtt3-connector-quality-of-service
[]
mulesoft
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mulesoft-documentation-embeddings

MuleSoft Documentation Embeddings for RAG Applications

Dataset Information

  • Version: 1.0.0
  • Created: 2025-09-16T02:41:16.352809
  • Source: Vector Database
  • License: MIT
  • Language: en

Task Categories

question-answering, retrieval, knowledge-base

Dataset Statistics

SkillPilotDataSet_v11

  • Total Objects: 6430
  • Unique Properties: 13
  • Knowledge Sources: mulesoft, user_defined_docs
  • Average Content Length: 5079 characters

Dataset Schema

The dataset contains the original document properties with the following fields:

  • author: Document author
  • chunk_id: Unique chunk identifier
  • chunk_index: Position of chunk in document
  • document_id: Source document identifier
  • entities: Extracted entities
  • keywords: Document keywords
  • knowledge_source: Source of knowledge (mulesoft, user_defined_docs)
  • page_content: Main text content
  • relationships: Entity relationships
  • source_url: Original document URL
  • tags: Document tags
  • title: Document title
  • total_chunks: Total number of chunks in document
  • vector: Embedding vector (3072 dimensions from OpenAI text-embedding-3-large)

RAG Configuration

This dataset was created using the following RAG (Retrieval-Augmented Generation) configuration:

Embedding Model

  • Model Type: OpenAI
  • Model ID: text-embedding-3-large
  • Embedding Dimensions: 3072
  • Provider: OpenAI

Chunking Configuration

  • Chunk Size: 2048 characters
  • Chunk Overlap: 256 characters

Technical Details

  • Vector Database: Vector Database
  • Collection: SkillPilotDataSet_v11
  • Total Vectors: 6430
  • Vector Distance: Cosine similarity

Usage

This dataset can be used for:

  • Question answering systems
  • Retrieval-augmented generation (RAG)
  • Knowledge base construction
  • Technical interview preparation
  • AI assistant training

Files

  • dataset.parquet: Dataset in Parquet format (recommended for large datasets)
  • README.md: This documentation file

Citation

If you use this dataset, please cite:

@dataset{{mulesoft_documentation_embeddings,
  title={{MuleSoft Documentation Embeddings}},
  author={{Bassem Elsodany}},
  year={{2025}},
  url={{https://huggingface.co/datasets/BassemE/mulesoft-documentation-embeddings}}
}}
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