II.
RetrievalPipeline JSON
Structured · liveretrieval-pipeline:rag-code-search
RAG Code Search json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "retrieval-pipeline:rag-code-search",
"_kind": "RetrievalPipeline",
"_file": "domain/knowledge-fabric/retrieval-pipelines.yaml",
"_cluster": "domain",
"attributes": {
"displayName": "RAG Code Search",
"description": "Retrieval-augmented generation pipeline specialized for code search.\nEmbeds code snippets, docstrings, and commit messages into a vector\nstore and retrieves relevant code context to augment LLM prompts\nfor code generation, review, and debugging tasks.\n",
"pipelineKind": "rag",
"vectorStore": "chromadb",
"chunkingStrategy": "semantic"
},
"outgoingEdges": [
{
"from": "retrieval-pipeline:rag-code-search",
"to": "knowledge-source:code-repository",
"kind": "retrieves_from"
},
{
"from": "retrieval-pipeline:rag-code-search",
"to": "knowledge-source:api-documentation",
"kind": "retrieves_from"
},
{
"from": "retrieval-pipeline:rag-code-search",
"to": "vector-store:chroma",
"kind": "uses_vector_store"
},
{
"from": "retrieval-pipeline:rag-code-search",
"to": "framework:langchain",
"kind": "uses_framework"
}
],
"incomingEdges": [
{
"from": "knowledge-domain:engineering-knowledge",
"to": "retrieval-pipeline:rag-code-search",
"kind": "provides_knowledge_to"
}
]
}