diff --git a/cognee/infrastructure/databases/vector/create_vector_engine.py b/cognee/infrastructure/databases/vector/create_vector_engine.py
index 639bbb9f6..d1cf855d7 100644
--- a/cognee/infrastructure/databases/vector/create_vector_engine.py
+++ b/cognee/infrastructure/databases/vector/create_vector_engine.py
@@ -47,7 +47,7 @@ def create_vector_engine(
             embedding_engine=embedding_engine,
         )
 
-    if vector_db_provider == "pgvector":
+    if vector_db_provider.lower() == "pgvector":
         from cognee.infrastructure.databases.relational import get_relational_config
 
         # Get configuration for postgres database
@@ -78,7 +78,7 @@ def create_vector_engine(
             embedding_engine,
         )
 
-    elif vector_db_provider == "chromadb":
+    elif vector_db_provider.lower() == "chromadb":
         try:
             import chromadb
         except ImportError:
@@ -94,7 +94,7 @@ def create_vector_engine(
             embedding_engine=embedding_engine,
         )
 
-    elif vector_db_provider == "neptune_analytics":
+    elif vector_db_provider.lower() == "neptune_analytics":
         try:
             from langchain_aws import NeptuneAnalyticsGraph
         except ImportError:
@@ -122,7 +122,7 @@ def create_vector_engine(
             embedding_engine=embedding_engine,
         )
 
-    else:
+    elif vector_db_provider.lower() == "lancedb":
         from .lancedb.LanceDBAdapter import LanceDBAdapter
 
         return LanceDBAdapter(
@@ -130,3 +130,9 @@ def create_vector_engine(
             api_key=vector_db_key,
             embedding_engine=embedding_engine,
         )
+
+    else:
+        raise EnvironmentError(
+            f"Unsupported graph database provider: {vector_db_provider}. "
+            f"Supported providers are: {', '.join(list(supported_databases.keys()) + ['LanceDB', 'PGVector', 'neptune_analytics', 'ChromaDB'])}"
+        )
diff --git a/cognee/infrastructure/files/utils/guess_file_type.py b/cognee/infrastructure/files/utils/guess_file_type.py
index dcdd68cad..f30bd5963 100644
--- a/cognee/infrastructure/files/utils/guess_file_type.py
+++ b/cognee/infrastructure/files/utils/guess_file_type.py
@@ -58,53 +58,6 @@ txt_file_type = TxtFileType()
 filetype.add_type(txt_file_type)
 
 
-class CustomPdfMatcher(filetype.Type):
-    """
-    Match PDF file types based on MIME type and extension.
-
-    Public methods:
-    - match
-
-    Instance variables:
-    - MIME: The MIME type of the PDF.
-    - EXTENSION: The file extension of the PDF.
-    """
-
-    MIME = "application/pdf"
-    EXTENSION = "pdf"
-
-    def __init__(self):
-        super(CustomPdfMatcher, self).__init__(
-            mime=CustomPdfMatcher.MIME, extension=CustomPdfMatcher.EXTENSION
-        )
-
-    def match(self, buf):
-        """
-        Determine if the provided buffer is a PDF file.
-
-        This method checks for the presence of the PDF signature in the buffer.
-
-        Raises:
-        - TypeError: If the buffer is not of bytes type.
-
-        Parameters:
-        -----------
-
-            - buf: The buffer containing the data to be checked.
-
-        Returns:
-        --------
-
-            Returns True if the buffer contains a PDF signature, otherwise returns False.
-        """
-        return b"PDF-" in buf
-
-
-custom_pdf_matcher = CustomPdfMatcher()
-
-filetype.add_type(custom_pdf_matcher)
-
-
 def guess_file_type(file: BinaryIO) -> filetype.Type:
     """
     Guess the file type from the given binary file stream.
diff --git a/cognee/modules/visualization/cognee_network_visualization.py b/cognee/modules/visualization/cognee_network_visualization.py
index c735e70f1..3bf5ea8e8 100644
--- a/cognee/modules/visualization/cognee_network_visualization.py
+++ b/cognee/modules/visualization/cognee_network_visualization.py
@@ -16,17 +16,17 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
 
     nodes_list = []
     color_map = {
-        "Entity": "#f47710",
-        "EntityType": "#6510f4",
-        "DocumentChunk": "#801212",
-        "TextSummary": "#1077f4",
-        "TableRow": "#f47710",
-        "TableType": "#6510f4",
-        "ColumnValue": "#13613a",
-        "SchemaTable": "#f47710",
-        "DatabaseSchema": "#6510f4",
-        "SchemaRelationship": "#13613a",
-        "default": "#D3D3D3",
+        "Entity": "#5C10F4",
+        "EntityType": "#A550FF",
+        "DocumentChunk": "#0DFF00",
+        "TextSummary": "#5C10F4",
+        "TableRow": "#A550FF",
+        "TableType": "#5C10F4",
+        "ColumnValue": "#757470",
+        "SchemaTable": "#A550FF",
+        "DatabaseSchema": "#5C10F4",
+        "SchemaRelationship": "#323332",
+        "default": "#D8D8D8",
     }
 
     for node_id, node_info in nodes_data:
@@ -98,16 +98,19 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
     <head>
         <meta charset="utf-8">
         <script src="https://d3js.org/d3.v5.min.js"></script>
+        <script src="https://d3js.org/d3-contour.v1.min.js"></script>
         <style>
             body, html { margin: 0; padding: 0; width: 100%; height: 100%; overflow: hidden; background: linear-gradient(90deg, #101010, #1a1a2e); color: white; font-family: 'Inter', sans-serif; }
 
             svg { width: 100vw; height: 100vh; display: block; }
-            .links line { stroke: rgba(255, 255, 255, 0.4); stroke-width: 2px; }
-            .links line.weighted { stroke: rgba(255, 215, 0, 0.7); }
-            .links line.multi-weighted { stroke: rgba(0, 255, 127, 0.8); }
-            .nodes circle { stroke: white; stroke-width: 0.5px; filter: drop-shadow(0 0 5px rgba(255,255,255,0.3)); }
-            .node-label { font-size: 5px; font-weight: bold; fill: white; text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; }
-            .edge-label { font-size: 3px; fill: rgba(255, 255, 255, 0.7); text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; }
+            .links line { stroke: rgba(160, 160, 160, 0.25); stroke-width: 1.5px; stroke-linecap: round; }
+            .links line.weighted { stroke: rgba(255, 215, 0, 0.4); }
+            .links line.multi-weighted { stroke: rgba(0, 255, 127, 0.45); }
+            .nodes circle { stroke: white; stroke-width: 0.5px; }
+            .node-label { font-size: 5px; font-weight: bold; fill: #F4F4F4; text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; }
+            .edge-label { font-size: 3px; fill: #F4F4F4; text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; paint-order: stroke; stroke: rgba(50,51,50,0.75); stroke-width: 1px; }
+
+            .density path { mix-blend-mode: screen; }
 
             .tooltip {
                 position: absolute;
@@ -125,11 +128,32 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
                 max-width: 300px;
                 word-wrap: break-word;
             }
+            #info-panel {
+                position: fixed;
+                left: 12px;
+                top: 12px;
+                width: 340px;
+                max-height: calc(100vh - 24px);
+                overflow: auto;
+                background: rgba(50, 51, 50, 0.7);
+                backdrop-filter: blur(6px);
+                border: 1px solid rgba(216, 216, 216, 0.35);
+                border-radius: 8px;
+                color: #F4F4F4;
+                padding: 12px 14px;
+                z-index: 1100;
+            }
+            #info-panel h3 { margin: 0 0 8px 0; font-size: 14px; color: #F4F4F4; }
+            #info-panel .kv { font-size: 12px; line-height: 1.4; }
+            #info-panel .kv .k { color: #D8D8D8; }
+            #info-panel .kv .v { color: #F4F4F4; }
+            #info-panel .placeholder { opacity: 0.7; font-size: 12px; }
         </style>
     </head>
     <body>
         <svg></svg>
         <div class="tooltip" id="tooltip"></div>
+        <div id="info-panel"><div class="placeholder">Hover a node or edge to inspect details</div></div>
         <script>
             var nodes = {nodes};
             var links = {links};
@@ -140,19 +164,141 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
 
             var container = svg.append("g");
             var tooltip = d3.select("#tooltip");
+            var infoPanel = d3.select('#info-panel');
+
+            function renderInfo(title, entries){
+                function esc(s){ return String(s).replace(/&/g,'&amp;').replace(/</g,'&lt;').replace(/>/g,'&gt;'); }
+                var html = '<h3>' + esc(title) + '</h3>';
+                html += '<div class="kv">';
+                entries.forEach(function(e){
+                    html += '<div><span class="k">' + esc(e.k) + ':</span> <span class="v">' + esc(e.v) + '</span></div>';
+                });
+                html += '</div>';
+                infoPanel.html(html);
+            }
+            function pickDescription(obj){
+                if (!obj) return null;
+                var keys = ['description','summary','text','content'];
+                for (var i=0; i<keys.length; i++){
+                    var v = obj[keys[i]];
+                    if (typeof v === 'string' && v.trim()) return v.trim();
+                }
+                return null;
+            }
+            function truncate(s, n){ if (!s) return s; return s.length > n ? (s.slice(0, n) + '…') : s; }
+            function renderNodeInfo(n){
+                var entries = [];
+                if (n.name) entries.push({k:'Name', v: n.name});
+                if (n.type) entries.push({k:'Type', v: n.type});
+                if (n.id) entries.push({k:'ID', v: n.id});
+                var desc = pickDescription(n) || pickDescription(n.properties);
+                if (desc) entries.push({k:'Description', v: truncate(desc.replace(/\s+/g,' ').trim(), 280)});
+                if (n.properties) {
+                    Object.keys(n.properties).slice(0, 12).forEach(function(key){
+                        var v = n.properties[key];
+                        if (v !== undefined && v !== null && typeof v !== 'object') entries.push({k: key, v: String(v)});
+                    });
+                }
+                renderInfo(n.name || 'Node', entries);
+            }
+            function renderEdgeInfo(e){
+                var entries = [];
+                if (e.relation) entries.push({k:'Relation', v: e.relation});
+                if (e.weight !== undefined && e.weight !== null) entries.push({k:'Weight', v: e.weight});
+                if (e.all_weights && Object.keys(e.all_weights).length){
+                    Object.keys(e.all_weights).slice(0, 8).forEach(function(k){ entries.push({k: 'w.'+k, v: e.all_weights[k]}); });
+                }
+                if (e.relationship_type) entries.push({k:'Type', v: e.relationship_type});
+                var edesc = pickDescription(e.edge_info);
+                if (edesc) entries.push({k:'Description', v: truncate(edesc.replace(/\s+/g,' ').trim(), 280)});
+                renderInfo('Edge', entries);
+            }
+
+            // Basic runtime diagnostics
+            console.log('[Cognee Visualization] nodes:', nodes ? nodes.length : 0, 'links:', links ? links.length : 0);
+            window.addEventListener('error', function(e){
+                try {
+                    tooltip.html('<strong>Error:</strong> ' + e.message)
+                        .style('left', '12px')
+                        .style('top', '12px')
+                        .style('opacity', 1);
+                } catch(_) {}
+            });
+
+            // Normalize node IDs and link endpoints for robustness
+            function resolveId(d){ return (d && (d.id || d.node_id || d.uuid || d.external_id || d.name)) || undefined; }
+            if (Array.isArray(nodes)) {
+                nodes.forEach(function(n){ var id = resolveId(n); if (id !== undefined) n.id = id; });
+            }
+            if (Array.isArray(links)) {
+                links.forEach(function(l){
+                    if (typeof l.source === 'object') l.source = resolveId(l.source);
+                    if (typeof l.target === 'object') l.target = resolveId(l.target);
+                });
+            }
+
+            if (!nodes || nodes.length === 0) {
+                container.append('text')
+                    .attr('x', width / 2)
+                    .attr('y', height / 2)
+                    .attr('fill', '#fff')
+                    .attr('font-size', 14)
+                    .attr('text-anchor', 'middle')
+                    .text('No graph data available');
+            }
+
+            // Visual defs - reusable glow
+            var defs = svg.append("defs");
+            var glow = defs.append("filter").attr("id", "glow")
+                .attr("x", "-30%")
+                .attr("y", "-30%")
+                .attr("width", "160%")
+                .attr("height", "160%");
+            glow.append("feGaussianBlur").attr("stdDeviation", 8).attr("result", "coloredBlur");
+            var feMerge = glow.append("feMerge");
+            feMerge.append("feMergeNode").attr("in", "coloredBlur");
+            feMerge.append("feMergeNode").attr("in", "SourceGraphic");
+
+            // Stronger glow for hovered adjacency
+            var glowStrong = defs.append("filter").attr("id", "glow-strong")
+                .attr("x", "-40%")
+                .attr("y", "-40%")
+                .attr("width", "180%")
+                .attr("height", "180%");
+            glowStrong.append("feGaussianBlur").attr("stdDeviation", 14).attr("result", "coloredBlur");
+            var feMerge2 = glowStrong.append("feMerge");
+            feMerge2.append("feMergeNode").attr("in", "coloredBlur");
+            feMerge2.append("feMergeNode").attr("in", "SourceGraphic");
+
+            var currentTransform = d3.zoomIdentity;
+            var densityZoomTimer = null;
+            var isInteracting = false;
+            var labelBaseSize = 10;
+            function getGroupKey(d){ return d && (d.type || d.category || d.group || d.color) || 'default'; }
 
             var simulation = d3.forceSimulation(nodes)
-                .force("link", d3.forceLink(links).id(d => d.id).strength(0.1))
-                .force("charge", d3.forceManyBody().strength(-275))
+                .force("link", d3.forceLink(links).id(function(d){ return d.id; }).distance(100).strength(0.2))
+                .force("charge", d3.forceManyBody().strength(-180))
+                .force("collide", d3.forceCollide().radius(16).iterations(2))
                 .force("center", d3.forceCenter(width / 2, height / 2))
-                .force("x", d3.forceX().strength(0.1).x(width / 2))
-                .force("y", d3.forceY().strength(0.1).y(height / 2));
+                .force("x", d3.forceX().strength(0.06).x(width / 2))
+                .force("y", d3.forceY().strength(0.06).y(height / 2))
+                .alphaDecay(0.06)
+                .velocityDecay(0.6);
+
+            // Density layer (sibling of container to avoid double transforms)
+            var densityLayer = svg.append("g")
+                .attr("class", "density")
+                .style("pointer-events", "none");
+            if (densityLayer.lower) densityLayer.lower();
 
             var link = container.append("g")
                 .attr("class", "links")
                 .selectAll("line")
                 .data(links)
                 .enter().append("line")
+                .style("opacity", 0)
+                .style("pointer-events", "none")
                 .attr("stroke-width", d => {
                     if (d.weight) return Math.max(2, d.weight * 5);
                     if (d.all_weights && Object.keys(d.all_weights).length > 0) {
@@ -168,6 +314,7 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
                 })
                 .on("mouseover", function(d) {
                     // Create tooltip content for edge
+                    renderEdgeInfo(d);
                     var content = "<strong>Edge Information</strong><br/>";
                     content += "Relationship: " + d.relation + "<br/>";
 
@@ -212,6 +359,7 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
                 .data(links)
                 .enter().append("text")
                 .attr("class", "edge-label")
+                .style("opacity", 0)
                 .text(d => {
                     var label = d.relation;
                     if (d.all_weights && Object.keys(d.all_weights).length > 1) {
@@ -232,21 +380,225 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
                 .data(nodes)
                 .enter().append("g");
 
+            // Color fallback by type when d.color is missing
+            var colorByType = {
+                "Entity": "#5C10F4",
+                "EntityType": "#A550FF",
+                "DocumentChunk": "#0DFF00",
+                "TextSummary": "#5C10F4",
+                "TableRow": "#A550FF",
+                "TableType": "#5C10F4",
+                "ColumnValue": "#757470",
+                "SchemaTable": "#A550FF",
+                "DatabaseSchema": "#5C10F4",
+                "SchemaRelationship": "#323332"
+            };
+
             var node = nodeGroup.append("circle")
                 .attr("r", 13)
-                .attr("fill", d => d.color)
+                .attr("fill", function(d){ return d.color || colorByType[d.type] || "#D3D3D3"; })
+                .style("filter", "url(#glow)")
+                .attr("shape-rendering", "geometricPrecision")
                 .call(d3.drag()
                     .on("start", dragstarted)
-                    .on("drag", dragged)
+                    .on("drag", function(d){ dragged(d); updateDensity(); showAdjacency(d); })
                     .on("end", dragended));
 
-            nodeGroup.append("text")
+            // Show links only for hovered node adjacency
+            function isAdjacent(linkDatum, nodeId) {
+                var sid = linkDatum && linkDatum.source && (linkDatum.source.id || linkDatum.source);
+                var tid = linkDatum && linkDatum.target && (linkDatum.target.id || linkDatum.target);
+                return sid === nodeId || tid === nodeId;
+            }
+
+            function showAdjacency(d) {
+                var nodeId = d && (d.id || d.node_id || d.uuid || d.external_id || d.name);
+                if (!nodeId) return;
+                // Build neighbor set
+                var neighborIds = {};
+                neighborIds[nodeId] = true;
+                for (var i = 0; i < links.length; i++) {
+                    var l = links[i];
+                    var sid = l && l.source && (l.source.id || l.source);
+                    var tid = l && l.target && (l.target.id || l.target);
+                    if (sid === nodeId) neighborIds[tid] = true;
+                    if (tid === nodeId) neighborIds[sid] = true;
+                }
+
+                link
+                    .style("opacity", function(l){ return isAdjacent(l, nodeId) ? 0.95 : 0; })
+                    .style("stroke", function(l){ return isAdjacent(l, nodeId) ? "rgba(255,255,255,0.95)" : null; })
+                    .style("stroke-width", function(l){ return isAdjacent(l, nodeId) ? 2.5 : 1.5; });
+                edgeLabels.style("opacity", function(l){ return isAdjacent(l, nodeId) ? 1 : 0; });
+                densityLayer.style("opacity", 0.35);
+
+                // Highlight neighbor nodes and dim others
+                node
+                    .style("opacity", function(n){ return neighborIds[n.id] ? 1 : 0.25; })
+                    .style("filter", function(n){ return neighborIds[n.id] ? "url(#glow-strong)" : "url(#glow)"; })
+                    .attr("r", function(n){ return neighborIds[n.id] ? 15 : 13; });
+                // Raise highlighted nodes
+                node.filter(function(n){ return neighborIds[n.id]; }).raise();
+                // Neighbor labels brighter
+                nodeGroup.select("text")
+                    .style("opacity", function(n){ return neighborIds[n.id] ? 1 : 0.2; })
+                    .style("font-size", function(n){
+                        var size = neighborIds[n.id] ? Math.min(22, labelBaseSize * 1.25) : labelBaseSize;
+                        return size + "px";
+                    });
+            }
+
+            function clearAdjacency() {
+                link.style("opacity", 0)
+                    .style("stroke", null)
+                    .style("stroke-width", 1.5);
+                edgeLabels.style("opacity", 0);
+                densityLayer.style("opacity", 1);
+                node
+                    .style("opacity", 1)
+                    .style("filter", "url(#glow)")
+                    .attr("r", 13);
+                nodeGroup.select("text")
+                    .style("opacity", 1)
+                    .style("font-size", labelBaseSize + "px");
+            }
+
+            node.on("mouseover", function(d){ showAdjacency(d); })
+                .on("mouseout", function(){ clearAdjacency(); });
+            node.on("mouseover", function(d){ renderNodeInfo(d); tooltip.style('opacity', 0); });
+            // Also bind on the group so labels trigger adjacency too
+            nodeGroup.on("mouseover", function(d){ showAdjacency(d); })
+                .on("mouseout", function(){ clearAdjacency(); });
+
+            // Density always on; no hover gating
+
+            // Add labels sparsely to reduce clutter (every ~50th node), and truncate long text
+            nodeGroup
+                .filter(function(d, i){ return i % 14 === 0; })
+                .append("text")
                 .attr("class", "node-label")
                 .attr("dy", 4)
                 .attr("text-anchor", "middle")
-                .text(d => d.name);
+                .text(function(d){
+                    var s = d && d.name ? String(d.name) : '';
+                    return s.length > 40 ? (s.slice(0, 40) + "…") : s;
+                })
+                .style("font-size", labelBaseSize + "px");
 
-            node.append("title").text(d => JSON.stringify(d));
+            function applyLabelSize() {
+                var k = (currentTransform && currentTransform.k) || 1;
+                // Keep labels readable across zoom levels and hide when too small
+                labelBaseSize = Math.max(7, Math.min(18, 10 / Math.sqrt(k)));
+                nodeGroup.select("text")
+                    .style("font-size", labelBaseSize + "px")
+                    .style("display", (k < 0.35 ? "none" : null));
+            }
+
+
+
+            // Density cloud computation (throttled)
+            var densityTick = 0;
+            var geoPath = d3.geoPath().projection(null);
+            var MAX_POINTS_PER_GROUP = 400;
+            function updateDensity() {
+                try {
+                    if (isInteracting) return; // skip during interaction for smoother UX
+                    if (typeof d3 === 'undefined' || typeof d3.contourDensity !== 'function') {
+                        return; // d3-contour not available; skip gracefully
+                    }
+                    if (!nodes || nodes.length === 0) return;
+                    var usable = nodes.filter(function(d){ return d && typeof d.x === 'number' && isFinite(d.x) && typeof d.y === 'number' && isFinite(d.y); });
+                    if (usable.length < 3) return; // not enough positioned points yet
+
+                    var t = currentTransform || d3.zoomIdentity;
+                    if (t.k && t.k < 0.08) {
+                        // Skip density at extreme zoom-out to avoid numerical instability/perf issues
+                        densityLayer.selectAll('*').remove();
+                        return;
+                    }
+
+                    function hexToRgb(hex){
+                        if (!hex) return {r: 0, g: 200, b: 255};
+                        var c = hex.replace('#','');
+                        if (c.length === 3) c = c.split('').map(function(x){ return x+x; }).join('');
+                        var num = parseInt(c, 16);
+                        return { r: (num >> 16) & 255, g: (num >> 8) & 255, b: num & 255 };
+                    }
+
+                    // Build groups across all nodes
+                    var groups = {};
+                    for (var i = 0; i < usable.length; i++) {
+                        var k = getGroupKey(usable[i]);
+                        if (!groups[k]) groups[k] = [];
+                        groups[k].push(usable[i]);
+                    }
+
+                    densityLayer.selectAll('*').remove();
+
+                    Object.keys(groups).forEach(function(key){
+                        var arr = groups[key];
+                        if (!arr || arr.length < 3) return;
+
+                        // Transform positions into screen space and sample to cap cost
+                        var arrT = [];
+                        var step = Math.max(1, Math.floor(arr.length / MAX_POINTS_PER_GROUP));
+                        for (var j = 0; j < arr.length; j += step) {
+                            var nx = t.applyX(arr[j].x);
+                            var ny = t.applyY(arr[j].y);
+                            if (isFinite(nx) && isFinite(ny)) {
+                                arrT.push({ x: nx, y: ny, type: arr[j].type, color: arr[j].color });
+                            }
+                        }
+                        if (arrT.length < 3) return;
+
+                        // Compute adaptive bandwidth based on group spread
+                        var cx = 0, cy = 0;
+                        for (var k = 0; k < arrT.length; k++){ cx += arrT[k].x; cy += arrT[k].y; }
+                        cx /= arrT.length; cy /= arrT.length;
+                        var sumR = 0;
+                        for (var k2 = 0; k2 < arrT.length; k2++){
+                            var dx = arrT[k2].x - cx, dy = arrT[k2].y - cy;
+                            sumR += Math.sqrt(dx*dx + dy*dy);
+                        }
+                        var avgR = sumR / arrT.length;
+                        var dynamicBandwidth = Math.max(12, Math.min(80, avgR));
+                        var densityBandwidth = dynamicBandwidth / (t.k || 1);
+
+                        var contours = d3.contourDensity()
+                            .x(function(d){ return d.x; })
+                            .y(function(d){ return d.y; })
+                            .size([width, height])
+                            .bandwidth(densityBandwidth)
+                            .thresholds(8)
+                            (arrT);
+
+                        if (!contours || contours.length === 0) return;
+                        var maxVal = d3.max(contours, function(d){ return d.value; }) || 1;
+
+                        // Use the first node color in the group or fallback neon palette
+                        var baseColor = (arr.find(function(d){ return d && d.color; }) || {}).color || '#00c8ff';
+                        var rgb = hexToRgb(baseColor);
+
+                        var g = densityLayer.append('g').attr('data-group', key);
+                        g.selectAll('path')
+                            .data(contours)
+                            .enter()
+                            .append('path')
+                            .attr('d', geoPath)
+                            .attr('fill', 'rgb(' + rgb.r + ',' + rgb.g + ',' + rgb.b + ')')
+                            .attr('stroke', 'none')
+                            .style('opacity', function(d){
+                                var v = maxVal ? (d.value / maxVal) : 0;
+                                var alpha = Math.pow(Math.max(0, Math.min(1, v)), 1.6); // accentuate clusters
+                                return 0.65 * alpha; // up to 0.65 opacity at peak density
+                            })
+                            .style('filter', 'blur(2px)');
+                    });
+                } catch (e) {
+                    // Reduce impact of any runtime errors during zoom
+                    console.warn('Density update failed:', e);
+                }
+            }
 
             simulation.on("tick", function() {
                 link.attr("x1", d => d.source.x)
@@ -266,16 +618,29 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
                     .attr("y", d => d.y)
                     .attr("dy", 4)
                     .attr("text-anchor", "middle");
+
+                densityTick += 1;
+                if (densityTick % 24 === 0) updateDensity();
             });
 
-            svg.call(d3.zoom().on("zoom", function() {
-                container.attr("transform", d3.event.transform);
-            }));
+            var zoomBehavior = d3.zoom()
+                .on("start", function(){ isInteracting = true; densityLayer.style("opacity", 0.2); })
+                .on("zoom", function(){
+                    currentTransform = d3.event.transform;
+                    container.attr("transform", currentTransform);
+                })
+                .on("end", function(){
+                    if (densityZoomTimer) clearTimeout(densityZoomTimer);
+                    densityZoomTimer = setTimeout(function(){ isInteracting = false; densityLayer.style("opacity", 1); updateDensity(); }, 140);
+                });
+            svg.call(zoomBehavior);
 
             function dragstarted(d) {
                 if (!d3.event.active) simulation.alphaTarget(0.3).restart();
                 d.fx = d.x;
                 d.fy = d.y;
+                isInteracting = true;
+                densityLayer.style("opacity", 0.2);
             }
 
             function dragged(d) {
@@ -287,6 +652,8 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
                 if (!d3.event.active) simulation.alphaTarget(0);
                 d.fx = null;
                 d.fy = null;
+                if (densityZoomTimer) clearTimeout(densityZoomTimer);
+                densityZoomTimer = setTimeout(function(){ isInteracting = false; densityLayer.style("opacity", 1); updateDensity(); }, 140);
             }
 
             window.addEventListener("resize", function() {
@@ -295,7 +662,13 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
                 svg.attr("width", width).attr("height", height);
                 simulation.force("center", d3.forceCenter(width / 2, height / 2));
                 simulation.alpha(1).restart();
+                updateDensity();
+                applyLabelSize();
             });
+
+            // Initial density draw
+            updateDensity();
+            applyLabelSize();
         </script>
 
         <svg style="position: fixed; bottom: 10px; right: 10px; width: 150px; height: auto; z-index: 9999;" viewBox="0 0 158 44" fill="none" xmlns="http://www.w3.org/2000/svg">
@@ -305,8 +678,12 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
     </html>
     """
 
-    html_content = html_template.replace("{nodes}", json.dumps(nodes_list))
-    html_content = html_content.replace("{links}", json.dumps(links_list))
+    # Safely embed JSON inside <script> by escaping </ to avoid prematurely closing the tag
+    def _safe_json_embed(obj):
+        return json.dumps(obj).replace("</", "<\\/")
+
+    html_content = html_template.replace("{nodes}", _safe_json_embed(nodes_list))
+    html_content = html_content.replace("{links}", _safe_json_embed(links_list))
 
     if not destination_file_path:
         home_dir = os.path.expanduser("~")
diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py
index 08b478adf..7c76cfa59 100644
--- a/cognee/shared/utils.py
+++ b/cognee/shared/utils.py
@@ -11,8 +11,10 @@ import pathlib
 from uuid import uuid4, uuid5, NAMESPACE_OID
 
 from cognee.base_config import get_base_config
+from cognee.shared.logging_utils import get_logger
 from cognee.infrastructure.databases.graph import get_graph_engine
 
+logger = get_logger()
 
 # Analytics Proxy Url, currently hosted by Vercel
 proxy_url = "https://test.prometh.ai"
@@ -38,16 +40,21 @@ def get_anonymous_id():
 
     home_dir = str(pathlib.Path(pathlib.Path(__file__).parent.parent.parent.resolve()))
 
-    if not os.path.isdir(home_dir):
-        os.makedirs(home_dir, exist_ok=True)
-    anonymous_id_file = os.path.join(home_dir, ".anon_id")
-    if not os.path.isfile(anonymous_id_file):
-        anonymous_id = str(uuid4())
-        with open(anonymous_id_file, "w", encoding="utf-8") as f:
-            f.write(anonymous_id)
-    else:
-        with open(anonymous_id_file, "r", encoding="utf-8") as f:
-            anonymous_id = f.read()
+    try:
+        if not os.path.isdir(home_dir):
+            os.makedirs(home_dir, exist_ok=True)
+        anonymous_id_file = os.path.join(home_dir, ".anon_id")
+        if not os.path.isfile(anonymous_id_file):
+            anonymous_id = str(uuid4())
+            with open(anonymous_id_file, "w", encoding="utf-8") as f:
+                f.write(anonymous_id)
+        else:
+            with open(anonymous_id_file, "r", encoding="utf-8") as f:
+                anonymous_id = f.read()
+    except Exception as e:
+        # In case of read-only filesystem or other issues
+        logger.warning("Could not create or read anonymous id file: %s", e)
+        return "unknown-anonymous-id"
     return anonymous_id