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Rag Db

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

Rag Db has 3 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

3 facts·2 predicates·2 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Inverse ofinverseOf

Inbound mentions (1)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

belongsToDatabaseBelongs to Database(1)

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

3 undated
—
inverseOfbeam/c39988e0-db33-4984-8c77-56ffcecd919a
ex:mongodb-connection
—
typebeam/92f9d4b6-659a-439c-ae2a-0330d3d8ab30
ex:Database
—
typebeam/c39988e0-db33-4984-8c77-56ffcecd919a
ex:MongoDatabase

References (2)

2 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/c39988e0-db33-4984-8c77-56ffcecd919a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c39988e0-db33-4984-8c77-56ffcecd919a
      Show excerpt
      # Vector exists but document does not vector_collection.delete([vec_id]) # Run reconciliation periodically reconcile_data() ``` ### Full Example Script Here is the complete script combining all the steps: ```pyth…
  2. [2]beam-chunk1 fact
    customctx:claims/beam/92f9d4b6-659a-439c-ae2a-0330d3d8ab30
    • full textbeam-chunk
      text/plain1 KBdoc:beam/92f9d4b6-659a-439c-ae2a-0330d3d8ab30
      Show excerpt
      'vector': [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6], [0.7, 0.8, 0.9]] } # Create a DataFrame to store the data df = pd.DataFrame(data) # Connect to MongoDB client = MongoClient('mongodb://localhost:27017/') db = client['rag_db'] collection = …

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