{
  "id": "topic:embedding-pipeline",
  "_kind": "Topic",
  "_file": "domain/topics/topics-knowledge-patterns.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Embedding Pipeline",
    "description": "Embedding Pipeline as a cross-cutting topic — the end-to-end flow from\nraw documents through chunking, embedding model inference, and vector\nstore ingestion. Covers batch embedding for initial corpus loading vs\nstreaming embedding for real-time document updates, embedding model\nselection (OpenAI ada-002, Cohere embed-v3, open-source models like\nE5, BGE, GTE), dimensionality trade-offs, normalization strategies,\nand pipeline orchestration patterns for keeping embeddings synchronized\nwith source documents as they change.\n"
  },
  "outgoingEdges": [
    {
      "from": "topic:embedding-pipeline",
      "to": "domain:software-engineering",
      "kind": "applies_to"
    },
    {
      "from": "topic:embedding-pipeline",
      "to": "specialization:ai-agents-conversational",
      "kind": "applies_to"
    },
    {
      "from": "topic:embedding-pipeline",
      "to": "domain:data-science",
      "kind": "applies_to"
    }
  ],
  "incomingEdges": [
    {
      "from": "domain:knowledge-management",
      "to": "topic:embedding-pipeline",
      "kind": "contains"
    },
    {
      "from": "tool:chromadb",
      "to": "topic:embedding-pipeline",
      "kind": "relates_to_topic",
      "attributes": {}
    },
    {
      "from": "tool:weaviate",
      "to": "topic:embedding-pipeline",
      "kind": "relates_to_topic",
      "attributes": {}
    },
    {
      "from": "tool:pinecone",
      "to": "topic:embedding-pipeline",
      "kind": "relates_to_topic",
      "attributes": {}
    },
    {
      "from": "tool:qdrant",
      "to": "topic:embedding-pipeline",
      "kind": "relates_to_topic",
      "attributes": {}
    },
    {
      "from": "tool:milvus",
      "to": "topic:embedding-pipeline",
      "kind": "relates_to_topic",
      "attributes": {}
    },
    {
      "from": "topic:rag-pipeline-design",
      "to": "topic:embedding-pipeline",
      "kind": "related_topics"
    }
  ]
}