From e5d3380c30719cf08a1e7fc4ccd50b624f05ebe1 Mon Sep 17 00:00:00 2001
From: HuangHai <10402852@qq.com>
Date: Wed, 9 Jul 2025 14:21:10 +0800
Subject: [PATCH] 'commit'

---
 .../graph_chunk_entity_relation.graphml       | 177 ------------------
 .../Topic/Chemistry/kv_store_doc_status.json  |  14 +-
 .../Topic/Chemistry/kv_store_full_docs.json   |   5 -
 .../Topic/Chemistry/kv_store_text_chunks.json |   9 -
 dsLightRag/Topic/Chemistry/vdb_chunks.json    |   1 -
 dsLightRag/Topic/Chemistry/vdb_entities.json  |   1 -
 .../Topic/Chemistry/vdb_relationships.json    |   1 -
 .../media/image1.wmf                          | Bin 0 -> 1560 bytes
 dsLightRag/static/markdown/Chemistry.md       |   2 +-
 9 files changed, 8 insertions(+), 202 deletions(-)
 delete mode 100644 dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml
 delete mode 100644 dsLightRag/Topic/Chemistry/kv_store_full_docs.json
 delete mode 100644 dsLightRag/Topic/Chemistry/kv_store_text_chunks.json
 delete mode 100644 dsLightRag/Topic/Chemistry/vdb_chunks.json
 delete mode 100644 dsLightRag/Topic/Chemistry/vdb_entities.json
 delete mode 100644 dsLightRag/Topic/Chemistry/vdb_relationships.json
 create mode 100644 dsLightRag/static/Images/ad16821befab4268bd844abf9dca8827/media/image1.wmf

diff --git a/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml b/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml
deleted file mode 100644
index 388c5a38..00000000
--- a/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml
+++ /dev/null
@@ -1,177 +0,0 @@
-<?xml version='1.0' encoding='utf-8'?>
-<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
-  <key id="d11" for="edge" attr.name="created_at" attr.type="long" />
-  <key id="d10" for="edge" attr.name="file_path" attr.type="string" />
-  <key id="d9" for="edge" attr.name="source_id" attr.type="string" />
-  <key id="d8" for="edge" attr.name="keywords" attr.type="string" />
-  <key id="d7" for="edge" attr.name="description" attr.type="string" />
-  <key id="d6" for="edge" attr.name="weight" attr.type="double" />
-  <key id="d5" for="node" attr.name="created_at" attr.type="long" />
-  <key id="d4" for="node" attr.name="file_path" attr.type="string" />
-  <key id="d3" for="node" attr.name="source_id" attr.type="string" />
-  <key id="d2" for="node" attr.name="description" attr.type="string" />
-  <key id="d1" for="node" attr.name="entity_type" attr.type="string" />
-  <key id="d0" for="node" attr.name="entity_id" attr.type="string" />
-  <graph edgedefault="undirected">
-    <node id="硝酸">
-      <data key="d0">硝酸</data>
-      <data key="d1">category</data>
-      <data key="d2">硝酸是一种化学物质，化学式为HNO₃，在光照或加热条件下会分解。</data>
-      <data key="d3">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d4">unknown_source</data>
-      <data key="d5">1752042011</data>
-    </node>
-    <node id="NO₂">
-      <data key="d0">NO₂</data>
-      <data key="d1">category</data>
-      <data key="d2">二氧化氮是一种气体，化学式为NO₂，是硝酸分解的产物之一。</data>
-      <data key="d3">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d4">unknown_source</data>
-      <data key="d5">1752042011</data>
-    </node>
-    <node id="O₂">
-      <data key="d0">O₂</data>
-      <data key="d1">category</data>
-      <data key="d2">氧气是一种气体，化学式为O₂，是硝酸分解的产物之一。</data>
-      <data key="d3">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d4">unknown_source</data>
-      <data key="d5">1752042011</data>
-    </node>
-    <node id="H₂O">
-      <data key="d0">H₂O</data>
-      <data key="d1">category</data>
-      <data key="d2">水是一种液体，化学式为H₂O，是硝酸分解的产物之一。</data>
-      <data key="d3">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d4">unknown_source</data>
-      <data key="d5">1752042011</data>
-    </node>
-    <node id="4HNO₃">
-      <data key="d0">4HNO₃</data>
-      <data key="d1">category</data>
-      <data key="d2">Nitric acid (HNO₃) in its molecular form before decomposition, with coefficient 4 indicating stoichiometry.</data>
-      <data key="d3">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d4">unknown_source</data>
-      <data key="d5">1752042011</data>
-    </node>
-    <node id="Δ/光照">
-      <data key="d0">Δ/光照</data>
-      <data key="d1">category</data>
-      <data key="d2">Heat or light as the energy input required to initiate the decomposition reaction.</data>
-      <data key="d3">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d4">unknown_source</data>
-      <data key="d5">1752042011</data>
-    </node>
-    <node id="4NO₂">
-      <data key="d0">4NO₂</data>
-      <data key="d1">category</data>
-      <data key="d2">Nitrogen dioxide gas produced as a decomposition product, with coefficient 4 indicating stoichiometry.</data>
-      <data key="d3">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d4">unknown_source</data>
-      <data key="d5">1752042011</data>
-    </node>
-    <node id="2H₂O">
-      <data key="d0">2H₂O</data>
-      <data key="d1">category</data>
-      <data key="d2">Water produced as a decomposition product, with coefficient 2 indicating stoichiometry.</data>
-      <data key="d3">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d4">unknown_source</data>
-      <data key="d5">1752042011</data>
-    </node>
-    <node id="Chemical Equation">
-      <data key="d0">Chemical Equation</data>
-      <data key="d1">category</data>
-      <data key="d2">The complete representation of the photodecomposition reaction of nitric acid.</data>
-      <data key="d3">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d4">unknown_source</data>
-      <data key="d5">1752042011</data>
-    </node>
-    <edge source="硝酸" target="NO₂">
-      <data key="d6">9.0</data>
-      <data key="d7">硝酸在光照或加热条件下分解产生二氧化氮。</data>
-      <data key="d8">分解产物,化学反应</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="硝酸" target="O₂">
-      <data key="d6">9.0</data>
-      <data key="d7">硝酸在光照或加热条件下分解产生氧气。</data>
-      <data key="d8">分解产物,化学反应</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="硝酸" target="H₂O">
-      <data key="d6">9.0</data>
-      <data key="d7">硝酸在光照或加热条件下分解产生水。</data>
-      <data key="d8">分解产物,化学反应</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="O₂" target="4HNO₃">
-      <data key="d6">10.0</data>
-      <data key="d7">Nitric acid decomposes to produce oxygen gas.</data>
-      <data key="d8">chemical decomposition,product formation</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="O₂" target="4NO₂">
-      <data key="d6">8.0</data>
-      <data key="d7">Both nitrogen dioxide and oxygen are gaseous products of the same decomposition reaction.</data>
-      <data key="d8">co-products,reaction output</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="O₂" target="2H₂O">
-      <data key="d6">8.0</data>
-      <data key="d7">Oxygen and water are both products of the decomposition reaction.</data>
-      <data key="d8">co-products,reaction output</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="4HNO₃" target="Δ/光照">
-      <data key="d6">10.0</data>
-      <data key="d7">Nitric acid requires heat or light energy input to undergo decomposition.</data>
-      <data key="d8">energy requirement,reaction condition</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="4HNO₃" target="4NO₂">
-      <data key="d6">10.0</data>
-      <data key="d7">Nitric acid decomposes to produce nitrogen dioxide gas.</data>
-      <data key="d8">chemical decomposition,product formation</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="4HNO₃" target="2H₂O">
-      <data key="d6">10.0</data>
-      <data key="d7">Nitric acid decomposes to produce water.</data>
-      <data key="d8">chemical decomposition,product formation</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="Δ/光照" target="Chemical Equation">
-      <data key="d6">9.0</data>
-      <data key="d7">Heat or light is the necessary condition for this chemical reaction to occur.</data>
-      <data key="d8">process initiation,reaction driver</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-    <edge source="4NO₂" target="2H₂O">
-      <data key="d6">8.0</data>
-      <data key="d7">Nitrogen dioxide and water are both products of nitric acid decomposition.</data>
-      <data key="d8">co-products,reaction output</data>
-      <data key="d9">chunk-5a9f08b3c625e6554648e7b3b22438da</data>
-      <data key="d10">unknown_source</data>
-      <data key="d11">1752042011</data>
-    </edge>
-  </graph>
-</graphml>
diff --git a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json
index 7dd2a93e..52a7be3f 100644
--- a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json
+++ b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json
@@ -1,12 +1,12 @@
 {
-  "doc-5a9f08b3c625e6554648e7b3b22438da": {
-    "status": "processed",
+  "doc-fa4cbbef47ac19e90c1a1de96f1ce2f6": {
+    "status": "processing",
     "chunks_count": 1,
-    "content": "硝酸光照分解的方程式\n 4HNO_{ 3 }   begin{array} {}   {underline{ Δ }}    或光照   end{array} 4NO_{ 2 }  ↑+O_{ 2 }  ↑+2H_{ 2 }  O",
-    "content_summary": "硝酸光照分解的方程式\n 4HNO_{ 3 }   begin{array} {}   {underline{ Δ }}    或光照   end{array} 4NO_{ 2 }  ↑+O_{ 2 }  ↑+2H_{ 2 }  O",
-    "content_length": 115,
-    "created_at": "2025-07-09T06:20:10.865920+00:00",
-    "updated_at": "2025-07-09T06:20:13.334913+00:00",
+    "content": "硝酸光照分解的方程式\n$$ 4HNO_{ 3 }   begin{array} {}   {underline{ Δ }}    或光照   end{array} 4NO_{ 2 }  ↑+O_{ 2 }  ↑+2H_{ 2 }  O $$",
+    "content_summary": "硝酸光照分解的方程式\n$$ 4HNO_{ 3 }   begin{array} {}   {underline{ Δ }}    或光照   end{array} 4NO_{ 2 }  ↑+O_{ 2 }  ↑+2H_{ 2 }  O $$",
+    "content_length": 120,
+    "created_at": "2025-07-09T06:20:51.851607+00:00",
+    "updated_at": "2025-07-09T06:20:51.854134+00:00",
     "file_path": "unknown_source"
   }
 }
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json b/dsLightRag/Topic/Chemistry/kv_store_full_docs.json
deleted file mode 100644
index d7a45167..00000000
--- a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "doc-5a9f08b3c625e6554648e7b3b22438da": {
-    "content": "硝酸光照分解的方程式\n 4HNO_{ 3 }   begin{array} {}   {underline{ Δ }}    或光照   end{array} 4NO_{ 2 }  ↑+O_{ 2 }  ↑+2H_{ 2 }  O"
-  }
-}
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json b/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json
deleted file mode 100644
index 968e25ae..00000000
--- a/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-  "chunk-5a9f08b3c625e6554648e7b3b22438da": {
-    "tokens": 67,
-    "content": "硝酸光照分解的方程式\n 4HNO_{ 3 }   begin{array} {}   {underline{ Δ }}    或光照   end{array} 4NO_{ 2 }  ↑+O_{ 2 }  ↑+2H_{ 2 }  O",
-    "chunk_order_index": 0,
-    "full_doc_id": "doc-5a9f08b3c625e6554648e7b3b22438da",
-    "file_path": "unknown_source"
-  }
-}
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/vdb_chunks.json b/dsLightRag/Topic/Chemistry/vdb_chunks.json
deleted file mode 100644
index 5a102cef..00000000
--- a/dsLightRag/Topic/Chemistry/vdb_chunks.json
+++ /dev/null
@@ -1 +0,0 @@
-{"embedding_dim": 1024, "data": [{"__id__": "chunk-5a9f08b3c625e6554648e7b3b22438da", "__created_at__": 1752042010, "content": "硝酸光照分解的方程式\n 4HNO_{ 3 }   begin{array} {}   {underline{ Δ }}    或光照   end{array} 4NO_{ 2 }  ↑+O_{ 2 }  ↑+2H_{ 2 }  O", "full_doc_id": "doc-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}], "matrix": 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qr704IUo8+tFJPXWFMbzubyO99MJZu9vbDz3kGrm8ON0DPUp9ebx+gBS8LoiZu3eGizyrM9Y81OGGPIJXILyLBTi9yZh+PfZURTyUs888mFJ3vK0SDT1YQwY7z2MoPag7AT0dOSY9KL3vPGln0TzqKak9KnoDPU5diry9Sz89kI/4O+opKbyxWAc8kG3VvModrjvOeI88PGfEPMVbCT1REZk8w3zSO1v3lDwoV4a8Sb0IvM9jqLzQmwy87RUcPC0Dar07wPE8QphXu7kbhjsgtqo8UIAHvasRs7yBbIc8Lqq8O1aG8rsg2E29XxLnPC9RDz2DZFw9Wr8wvUskzDxbqsk8LL8jPMGROT3mzke8xw+YvN5C07z5CNQ8h7+9u3tdlzxqfRK9y+ajvL//zTr07YG6SyRMPEcAdTwzl4m8KJvMPJL/wDzCWq88qMwSOV89D7xs+Tw8pqmVPA=="}
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/vdb_entities.json b/dsLightRag/Topic/Chemistry/vdb_entities.json
deleted file mode 100644
index 2f23cd3d..00000000
--- a/dsLightRag/Topic/Chemistry/vdb_entities.json
+++ /dev/null
@@ -1 +0,0 @@
-{"embedding_dim": 1024, "data": [{"__id__": "ent-44635b939a0dac857d1d84583d9cdbfc", "__created_at__": 1752042011, "entity_name": "硝酸", "content": "硝酸\n硝酸是一种化学物质，化学式为HNO₃，在光照或加热条件下会分解。", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "ent-3ef9475ac009d568c7243a56a5b9e965", "__created_at__": 1752042011, "entity_name": "NO₂", "content": "NO₂\n二氧化氮是一种气体，化学式为NO₂，是硝酸分解的产物之一。", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "ent-92623f14a9ca7973f1e8dc03d704db87", "__created_at__": 1752042011, "entity_name": "O₂", "content": "O₂\n氧气是一种气体，化学式为O₂，是硝酸分解的产物之一。", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "ent-c403061542df029b1cfda90a2ba8076a", "__created_at__": 1752042011, "entity_name": "H₂O", "content": "H₂O\n水是一种液体，化学式为H₂O，是硝酸分解的产物之一。", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "ent-0f7a60ce2e2d35c08c805b8754b5f887", "__created_at__": 1752042011, "entity_name": "4HNO₃", "content": "4HNO₃\nNitric acid (HNO₃) in its molecular form before decomposition, with coefficient 4 indicating stoichiometry.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "ent-198251276e8521ff0286d28b808bed5e", "__created_at__": 1752042011, "entity_name": "Δ/光照", "content": "Δ/光照\nHeat or light as the energy input required to initiate the decomposition reaction.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "ent-f8cdc5eed272ed6dbb4abf28e9af7bc7", "__created_at__": 1752042011, "entity_name": "4NO₂", "content": "4NO₂\nNitrogen dioxide gas produced as a decomposition product, with coefficient 4 indicating stoichiometry.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "ent-b2cd506ebe8f0780716a9d2955a1753a", "__created_at__": 1752042011, "entity_name": "2H₂O", "content": "2H₂O\nWater produced as a decomposition product, with coefficient 2 indicating stoichiometry.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "ent-b535db2f4374c14375eb83519c3b1568", "__created_at__": 1752042011, "entity_name": "Chemical Equation", "content": "Chemical Equation\nThe complete representation of the photodecomposition reaction of nitric acid.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}], "matrix": 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"}
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/vdb_relationships.json b/dsLightRag/Topic/Chemistry/vdb_relationships.json
deleted file mode 100644
index 5399ff3e..00000000
--- a/dsLightRag/Topic/Chemistry/vdb_relationships.json
+++ /dev/null
@@ -1 +0,0 @@
-{"embedding_dim": 1024, "data": [{"__id__": "rel-0ce3895b50e155712e570ebde234c935", "__created_at__": 1752042012, "src_id": "NO₂", "tgt_id": "硝酸", "content": "NO₂\t硝酸\n分解产物,化学反应\n硝酸在光照或加热条件下分解产生二氧化氮。", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-ebb8987a1e89a3b3153719e83d5f4bf4", "__created_at__": 1752042012, "src_id": "O₂", "tgt_id": "硝酸", "content": "O₂\t硝酸\n分解产物,化学反应\n硝酸在光照或加热条件下分解产生氧气。", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-891b2fb8a2094559a40c7485411fdfbb", "__created_at__": 1752042012, "src_id": "H₂O", "tgt_id": "硝酸", "content": "H₂O\t硝酸\n分解产物,化学反应\n硝酸在光照或加热条件下分解产生水。", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-390cea23db9d113d6a29b5b24fd4b2fb", "__created_at__": 1752042012, "src_id": "4HNO₃", "tgt_id": "Δ/光照", "content": "4HNO₃\tΔ/光照\nenergy requirement,reaction condition\nNitric acid requires heat or light energy input to undergo decomposition.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-777b59555ab4ada16ec17f6bb30e7b1b", "__created_at__": 1752042012, "src_id": "4HNO₃", "tgt_id": "4NO₂", "content": "4HNO₃\t4NO₂\nchemical decomposition,product formation\nNitric acid decomposes to produce nitrogen dioxide gas.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-2d40161e9fa3230f138bfea1e73f7661", "__created_at__": 1752042012, "src_id": "4HNO₃", "tgt_id": "O₂", "content": "4HNO₃\tO₂\nchemical decomposition,product formation\nNitric acid decomposes to produce oxygen gas.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-63e675fb373cec502e9dec48449296df", "__created_at__": 1752042012, "src_id": "2H₂O", "tgt_id": "4HNO₃", "content": "2H₂O\t4HNO₃\nchemical decomposition,product formation\nNitric acid decomposes to produce water.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-5a0a6219dd03a93854afc4f8d21559c2", "__created_at__": 1752042012, "src_id": "Chemical Equation", "tgt_id": "Δ/光照", "content": "Chemical Equation\tΔ/光照\nprocess initiation,reaction driver\nHeat or light is the necessary condition for this chemical reaction to occur.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-4026560ba255f77d2ac098bd96c8864a", "__created_at__": 1752042012, "src_id": "4NO₂", "tgt_id": "O₂", "content": "4NO₂\tO₂\nco-products,reaction output\nBoth nitrogen dioxide and oxygen are gaseous products of the same decomposition reaction.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-6dd2a36729cd4b896d67402faf705987", "__created_at__": 1752042012, "src_id": "2H₂O", "tgt_id": "4NO₂", "content": "2H₂O\t4NO₂\nco-products,reaction output\nNitrogen dioxide and water are both products of nitric acid decomposition.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}, {"__id__": "rel-4142219fac56d50002b15c6da8cb31d9", "__created_at__": 1752042012, "src_id": "2H₂O", "tgt_id": "O₂", "content": "2H₂O\tO₂\nco-products,reaction output\nOxygen and water are both products of the decomposition reaction.", "source_id": "chunk-5a9f08b3c625e6554648e7b3b22438da", "file_path": "unknown_source"}], "matrix": 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new file mode 100644
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diff --git a/dsLightRag/static/markdown/Chemistry.md b/dsLightRag/static/markdown/Chemistry.md
index df82f3ae..253671e9 100644
--- a/dsLightRag/static/markdown/Chemistry.md
+++ b/dsLightRag/static/markdown/Chemistry.md
@@ -1,2 +1,2 @@
 硝酸光照分解的方程式
- 4HNO_{ 3 }   \begin{array} {}   {\underline{ Δ }}   \\ 或光照 \\  \end{array} 4NO_{ 2 }  ↑+O_{ 2 }  ↑+2H_{ 2 }  O 
+$$ 4HNO_{ 3 }   \begin{array} {}   {\underline{ Δ }}   \\ 或光照 \\  \end{array} 4NO_{ 2 }  ↑+O_{ 2 }  ↑+2H_{ 2 }  O $$