Draft Kai Cal

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Graph Index

	Count	LastIHash	LastIDate
Files	0	d8ad	2024-10-27
Tags	7	8b9a	2024-10-27
Entities	0	dan9	2024-10-27
Relations	186	24ui	2024-10-27

Dev Instructions

Files, Tags, Entities, and Relations are the important elements of the KGraph that must be tracked and displayed accurately.
- Files, Tags, Entities, and Relations count and graph stats should be stored in st.session_state and include Count, LastIngestedHash, LastIngestedDate
- For the purposes of these specs, slugify() and tagify() are nearly synonymous functions except tagify() returns ”#“+slugify() and does extra logging and hash verification
- Variables spec
  - md5-hash-lenN:
    - determined by md5 hash of the file slug where N is the length of the digest
  - slug is derived by file type
    - Paste: Paste/{md5_hash_len4}/{YYYY-MM-DD:ingest_date}/{counter}
    - URL: URL/{slugify(url)}/{md5_hash_len4}/{url}/{counter}
    - Upload: {slugify(filename)}/{md5_hash_len4}/{counter}
- Files spec
  - label: [📁 {filename} {md5_hash_len4} {YYYY-MM-DD}](https://WikiWe.org/x/{md5_hash_len12})
  - file name: based upon file type and ingest date as follows
    - Paste:
      - filename: “Paste-{md5_hash_len4}-{YYYY-MM-DD:ingest_date}-{counter}.md”,
      - slug: Paste-{md5_hash_len4}-{YYYY-MM-DD:ingest_date}-{counter},
      - wtag: Paste/{md5_hash_len4}/{YYYY-MM-DD:ingest_date}/{counter}
    - URL:
      - filename: “URL-{slugify(url)}-{md5_hash_len4}-{url}-{counter}.md”,
      - slug: URL-{slugify(url)}-{md5_hash_len4}-{url}-{counter},
      - wtag: URL/{md5_hash_len4}/{url}/{counter}
    - Upload:
      - filename: “{filename-uploaded}-{md5_hash_len4}-{counter}.md”,
      - slug: {slugify(filename)}-{md5_hash_len4}-{counter},
      - wtag: #{slug}/{md5_hash_len4}/{YYYY-MM-DD}/{counter}}
    - Where
      - slug: derived from the file name by removing the extension and replacing spaces and special characters that can’t be included in obsidian tag, with a tag-friendly delimiter -
      - wtag: a tag registered at WikiWe.org that provides content-addressable storage with verifiable proofs and other meta-data
      - filename: markdown file with frontmatter:
        
        aliases: {wtag}
        
        id: {md5_hash_len16}
        
        slug: {slug}
        
        tags: {wtag}
        
        ingest-date: {YYYY-MM-DD}
        
        file-type: {Paste, URL, Upload}
      - counter: 1,2, … monotonically increasing
  - slug: (based upon the filename and type)
  - wtag: ”#”+{slug}
  - wurl: “https://WikiWe.org/x/{md5_hash_len12}“
- Tags spec
  - label: [#️⃣ #{slug}](https://WikiWe.org/x/tags/{md5-hash-12c})
  - slug: (based upon the file types like Files spec)
  - filename: {slug}.md
  - md5-hash-4c: determined by
    - md5 hash of the file slug, sliced to length of 4 chars
  - md5-hash-12c: determined by
    - md5 hash of the file slug, sliced to length of 12 chars
  - ingest_date: now(“YYYY-MM-DD”)
- Entities spec
  - label: [⬛️ {wurl}](https://WikiWe.org/x/{md5-hash-12c})
  - slug: (based upon a contexualized name)
  - filename: {slug}.md
  - md5-hash-4c: determined by
    - md5 hash of the file slug, sliced to length of 4 chars
  - md5-hash-12c: determined by
    - md5 hash of the file slug, sliced to length of 12 chars
  - ingest_date: now(“YYYY-MM-DD”)
- Relations spec
  - label: [♦️ {wurl}](https://WikiWe.org/x/{md5-hash-12c})
  - slug: (based upon a kgraph triplet)
  - filename: {slug}.md
  - md5-hash-4c: determined by
    - md5 hash of the file slug, sliced to length of 4 chars
  - md5-hash-12c: determined by
    - md5 hash of the file slug, sliced to length of 12 chars
  - ingest_date: now(“YYYY-MM-DD”)

Slug Index

Circular transclusion detected: About/Draft-Kai-Cal

Kai Sidebar

Circular transclusion detected: About/Draft-Kai-Cal

Algo Diagram

flowchart LR
    subgraph Insert
        direction TB
        Input("Input String(s)")
        Hash("Generate MD5 Hash IDs")
        Chunking("Text Chunking<br/>chunk_size: 1200<br/>overlap: 100")
        EntityExtract("Entity Extraction")
        
        Input --> Hash
        Hash --> Chunking
        Chunking --> EntityExtract
    end
    
    subgraph Query
        direction TB
        QueryInput("Query String")
        QueryRouter{"Query Mode"}
        NaiveQuery("Naive Query")
        LocalQuery("Local Query")
        GlobalQuery("Global Query")
        HybridQuery("Hybrid Query")
        LLMCache("LLM Response Cache")
        
        QueryInput --> QueryRouter
        QueryRouter -->|naive| NaiveQuery
        QueryRouter -->|local| LocalQuery
        QueryRouter -->|global| GlobalQuery
        QueryRouter -->|hybrid| HybridQuery
        LLMCache -.->|Optional| QueryRouter
    end
    
    subgraph Verify
        direction TB
        VerifyInput("Verification Query #NotImplementedYet")
        SourceCheck("Source Verification")
        FactCheck("Fact Checking")
        ConflictDetection("Conflict Detection")
        
        VerifyInput --> SourceCheck
        VerifyInput --> FactCheck
        VerifyInput --> ConflictDetection
    end
    
    subgraph Storage
        direction TB
        Docs("Full Documents Storage<br/>(JsonKVStorage)")
        ChunkStore("Text Chunks Storage<br/>(JsonKVStorage)")
        ChunkVDB("Chunks Vector DB<br/>(NanoVectorDBStorage)")
        EntityVDB("Entity Vector DB<br/>(NanoVectorDBStorage)")
        RelVDB("Relationship Vector DB<br/>(NanoVectorDBStorage)")
        KnowledgeGraph("Knowledge Graph<br/>(NetworkXStorage)")
    end
    
     Query connections to storage
    NaiveQuery --> ChunkVDB
    LocalQuery --> KnowledgeGraph
    LocalQuery --> EntityVDB
    LocalQuery --> RelVDB
    GlobalQuery --> KnowledgeGraph
    GlobalQuery --> EntityVDB
    GlobalQuery --> RelVDB
    HybridQuery --> KnowledgeGraph
    HybridQuery --> EntityVDB
    HybridQuery --> RelVDB
    
    
## Drawing
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{URL} 2[🗓️ {DD} 🕰️{HH:MM:SS}] popover (popover should display content summary and metadata including md5_hash_len4, num_lines, size_mbs, timestamp: [🗓️ {YYYY-MM-DD} 🕰️{HH:MM:SS}])

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