How Each Architecture Works

      flowchart TD
        docs["Documents"]
        chunk["Chunk & Embed"]
        vector[("Vector Store
        LanceDB Enterprise")]
        query["User Query"]
        embed["Embed Query"]
        similarity["Similarity Search
        cosine distance"]
        retrieved["Retrieved Chunks
        top-k"]
        llm["LLM"]
        answer["Answer"]

        docs --> chunk
        chunk --> vector
        query --> embed
        embed --> similarity
        vector --> similarity
        similarity --> retrieved
        retrieved --> llm
        llm --> answer

        class docs,chunk,embed,similarity,retrieved roseNode
        class vector roseStore
        class query roseNode
        class llm llmNode
        class answer answerNode
    

      flowchart TD
        docs["Documents"]

        subgraph dense["Dense Path"]
          chunk["Chunk & Embed"]
          vector[("Vector Store")]
        end

        subgraph sparse["Sparse Path"]
          bm25["BM25 Index"]
          keyword[("Keyword Index")]
        end

        query["User Query"]
        embed["Embed Query"]
        kwquery["Keyword Query"]
        vresults["Vector Results"]
        kresults["Keyword Results"]
        fusion["Fusion RRF
        Reciprocal Rank Fusion"]
        rerank["Cross-encoder Rerank
        relevance scoring"]
        llm["LLM"]
        answer["Answer"]

        docs --> chunk & bm25
        chunk --> vector
        bm25 --> keyword
        query --> embed & kwquery
        embed --> vresults
        kwquery --> kresults
        vector --> vresults
        keyword --> kresults
        vresults --> fusion
        kresults --> fusion
        fusion --> rerank
        rerank --> llm
        llm --> answer

        class docs,chunk,embed,kwquery,vresults,kresults blueNode
        class vector,keyword blueStore
        class bm25,query blueNode
        class fusion fusionNode
        class rerank blueNode
        class llm llmNode
        class answer answerNode
    

      flowchart TD
        docs["Documents"]
        kg[("Knowledge Graph
        entities & relations")]

        subgraph dense2["Dense Path"]
          chunk2["Chunk & Embed"]
          vector2[("Vector Store")]
        end

        subgraph sparse2["Sparse Path"]
          bm252["BM25 Index"]
          keyword2[("Keyword Index")]
        end

        query2["User Query"]
        prefilter{"KG Pre-filter
        dates, parties,
        jurisdictions, amounts"}
        vfiltered["Filtered Vector
        Results"]
        kfiltered["Filtered Keyword
        Results"]
        fusion2["Fusion RRF"]
        rerank2["Cross-encoder Rerank"]
        llm2["LLM"]
        answer2["Answer"]
        verify{"KG Hallucination
        Verification
        entity grounding"}
        verified["Verified Answer"]
        escalate["Human Escalation"]

        docs --> chunk2 & bm252
        chunk2 --> vector2
        bm252 --> keyword2
        query2 --> prefilter
        kg --> prefilter
        prefilter --> vfiltered & kfiltered
        vector2 --> vfiltered
        keyword2 --> kfiltered
        vfiltered --> fusion2
        kfiltered --> fusion2
        fusion2 --> rerank2
        rerank2 --> llm2
        llm2 --> answer2
        answer2 --> verify
        kg --> verify
        verify -->|"passes"| verified
        verify -->|"fails"| escalate

        class docs,chunk2,bm252,query2,vfiltered,kfiltered,rerank2 violetNode
        class vector2,keyword2 violetStore
        class prefilter,verify violetDiamond
        class kg kgNode
        class fusion2 fusionNode
        class llm2 llmNode
        class verified answerNode
        class escalate roseNode