{
  "@context": {
    "dcterms": "http://purl.org/dc/terms/",
    "dcmitype": "http://purl.org/dc/dcmitype/"
  },
  "dcterms:identifier": [
    "tag:aim-pro.eu,2026:oer/02e868cdf8ea",
    "https://github.com/microsoft/generative-ai-for-beginners/blob/main/15-rag-and-vector-databases/README.md",
    "repository-path:15-rag-and-vector-databases/README.md",
    "git-blob:7c0db0ccd92136aae3541c2ff300cdb362f20777"
  ],
  "dcterms:title": [
    "Retrieval Augmented Generation (RAG) and Vector Databases"
  ],
  "dcterms:type": [
    {
      "@id": "dcmitype:Text"
    }
  ],
  "dcterms:contributor": [
    "Microsoft (microsoft) (content provider, container)"
  ],
  "dcterms:subject": [
    "ai",
    "azure",
    "chatgpt",
    "dall-e",
    "generative-ai",
    "generativeai",
    "gpt",
    "language-model",
    "llms",
    "microsoft-for-beginners",
    "openai",
    "prompt-engineering",
    "semantic-search",
    "transformers"
  ],
  "dcterms:language": [
    "en"
  ],
  "dcterms:license": [
    {
      "@id": "https://spdx.org/licenses/MIT.html"
    }
  ],
  "dcterms:rights": [
    "MIT — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. recognised open SPDX id"
  ],
  "dcterms:format": [
    "text/markdown"
  ],
  "dcterms:extent": [
    "14619 bytes (extracted text)"
  ],
  "dcterms:modified": [
    "2026-07-14"
  ],
  "dcterms:isPartOf": [
    {
      "@id": "https://github.com/microsoft/generative-ai-for-beginners"
    }
  ],
  "dcterms:provenance": [
    "Retrieved from GitHub on 2026-10-09 in response to the search string “AI \"AI concepts\" in:name,description,readme fork:false archived:false”. GitHub served the resource and is not asserted to be its publisher or author.",
    "Text extracted from markdown to Markdown by passthrough; the original is retained unchanged beside it.",
    "Found inside repository microsoft/generative-ai-for-beginners, whose own description is recorded separately and is not a description of this resource."
  ],
  "inferred": {
    "dcterms:description": [
      {
        "value": "In this lesson, we will delve further into the concepts of grounding your data in your LLM application, the mechanics of the process and the methods for storing data, including both embeddings and text.",
        "method": "inferred",
        "rule": "description.statement",
        "rule_version": "description/13",
        "evidence": {
          "lines": [
            9,
            9
          ],
          "under": "Retrieval Augmented Generation (RAG) and Vector Databases"
        }
      }
    ],
    "dcterms:requires": [
      {
        "value": {
          "@id": "https://github.com/microsoft/generative-ai-for-beginners/blob/main/15-rag-and-vector-databases/data/frameworks.md",
          "title": "Neural Network Frameworks"
        },
        "method": "inferred",
        "rule": "components",
        "rule_version": "components/3",
        "evidence": {
          "links": [
            {
              "basis": "layout",
              "folder": "15-rag-and-vector-databases",
              "convention": "same folder"
            }
          ]
        }
      },
      {
        "value": {
          "@id": "https://github.com/microsoft/generative-ai-for-beginners/blob/main/15-rag-and-vector-databases/data/own_framework.md",
          "title": "Introduction to Neural Networks. Multi-Layered Perceptron"
        },
        "method": "inferred",
        "rule": "components",
        "rule_version": "components/3",
        "evidence": {
          "links": [
            {
              "basis": "layout",
              "folder": "15-rag-and-vector-databases",
              "convention": "same folder"
            }
          ]
        }
      },
      {
        "value": {
          "@id": "https://github.com/microsoft/generative-ai-for-beginners/blob/main/15-rag-and-vector-databases/data/perceptron.md",
          "title": "Introduction to Neural Networks: Perceptron"
        },
        "method": "inferred",
        "rule": "components",
        "rule_version": "components/3",
        "evidence": {
          "links": [
            {
              "basis": "layout",
              "folder": "15-rag-and-vector-databases",
              "convention": "same folder"
            }
          ]
        }
      }
    ],
    "dcterms:isReferencedBy": [
      {
        "value": {
          "@id": "https://github.com/microsoft/generative-ai-for-beginners/blob/main/14-the-generative-ai-application-lifecycle/README.md",
          "title": "The Generative AI Application Lifecycle"
        },
        "method": "inferred",
        "rule": "link",
        "rule_version": "links/1",
        "evidence": {
          "links": [
            {
              "how": "link",
              "line": 91,
              "basis": "reference",
              "literal": "https://github.com/microsoft/generative-ai-for-beginners/blob/main/15-rag-and-vector-databases/README.md"
            }
          ],
          "kind": "link"
        }
      }
    ]
  }
}