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Home - AI & Machine Learning - Construct an Elastic Vector Database with Constant Hashing, Sharding, and Reside Ring Visualization for RAG Methods
AI & Machine Learning

Construct an Elastic Vector Database with Constant Hashing, Sharding, and Reside Ring Visualization for RAG Methods

NextTechBy NextTechFebruary 26, 2026No Comments1 Min Read
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Construct an Elastic Vector Database with Constant Hashing, Sharding, and Reside Ring Visualization for RAG Methods
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def draw_ring(ring: ConsistentHashRing, dist: Dict[str, int], title: str):
   node_ids = sorted(ring.nodes.keys())
   plt.determine(figsize=(8, 8))
   ax = plt.gca()
   ax.set_title(title)


   if not node_ids:
       plt.textual content(0.5, 0.5, "Ring is empty", ha="middle", va="middle")
       plt.axis("off")
       plt.present()
       return


   G = nx.Graph()
   for nid in node_ids:
       G.add_node(nid)
   for i in vary(len(node_ids)):
       G.add_edge(node_ids[i], node_ids[(i + 1) % len(node_ids)])


   pos = nx.circular_layout(G)
   vnode_counts = ring.snapshot()
   labels = {
       nid: f"{nid}nkeys={dist.get(nid,0)}nvnodes={vnode_counts.get(nid,0)}"
       for nid in node_ids
   }


   nx.draw_networkx_edges(G, pos, alpha=0.4, width=2)
   nx.draw_networkx_nodes(G, pos, node_size=2200)
   nx.draw_networkx_labels(G, pos, labels=labels, font_size=9)
   plt.axis("off")
   plt.present()

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