From b52dc5b82f08ea83fcee68f20c00f460b17f34d9 Mon Sep 17 00:00:00 2001 From: HuangHai <10402852@qq.com> Date: Wed, 9 Jul 2025 13:01:45 +0800 Subject: [PATCH] 'commit' --- dsLightRag/T1_GetDocxContent.py | 8 - dsLightRag/{T2_Train.py => T1_Train.py} | 0 dsLightRag/{T3_Query.py => T2_Query.py} | 0 .../graph_chunk_entity_relation.graphml | 225 ------------------ .../Topic/Chemistry/kv_store_doc_status.json | 14 +- .../Topic/Chemistry/kv_store_full_docs.json | 5 - .../kv_store_llm_response_cache.json | 12 + .../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 -> 1032 bytes dsLightRag/static/Txt/化学方程式.docx | Bin 42232 -> 17863 bytes 13 files changed, 19 insertions(+), 257 deletions(-) delete mode 100644 dsLightRag/T1_GetDocxContent.py rename dsLightRag/{T2_Train.py => T1_Train.py} (100%) rename dsLightRag/{T3_Query.py => T2_Query.py} (100%) 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/9bd56a4387a946b886c3c40e17dbf46a/media/image1.wmf diff --git a/dsLightRag/T1_GetDocxContent.py b/dsLightRag/T1_GetDocxContent.py deleted file mode 100644 index 8e6904af..00000000 --- a/dsLightRag/T1_GetDocxContent.py +++ /dev/null @@ -1,8 +0,0 @@ -from Util.DocxUtil import * - -if __name__ == '__main__': - # docx文件路径 - docx_file = 'static/Txt/化学方程式.docx' - # 获取docx文件的内容 - content = get_docx_content_by_pandoc(docx_file) - print(content) diff --git a/dsLightRag/T2_Train.py b/dsLightRag/T1_Train.py similarity index 100% rename from dsLightRag/T2_Train.py rename to dsLightRag/T1_Train.py diff --git a/dsLightRag/T3_Query.py b/dsLightRag/T2_Query.py similarity index 100% rename from dsLightRag/T3_Query.py rename to dsLightRag/T2_Query.py 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 bd4db00f..00000000 --- a/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml +++ /dev/null @@ -1,225 +0,0 @@ - - - - - - - - - - - - - - - - - FeO - category - Iron(II) oxide, a chemical compound involved in the reaction with nitric acid. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - HNO3 - category - Nitric acid, a strong acid used in the reaction with iron(II) oxide. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - Fe(NO3)3 - category - Iron(III) nitrate, a product of the reaction between iron(II) oxide and nitric acid. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - H2O - category - Water, a byproduct in both chemical reactions described. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - NO2 - category - Nitrogen dioxide, a gaseous byproduct of the reaction between iron(II) oxide and nitric acid. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - H2 - category - Hydrogen gas, a reactant in the combustion reaction with oxygen. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - O2 - category - Oxygen gas, a reactant in the combustion reaction with hydrogen. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 问题1 - event - Question 1 describes a chemical reaction between iron(II) oxide and nitric acid. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 氧化铁 - category - Iron(II) oxide (FeO), a reactant in the chemical reaction described in Question 1. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 硝酸 - category - Nitric acid (HNO₃), a reactant in the chemical reaction described in Question 1. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 加热 - event - Heating is the condition required for the reaction between iron(II) oxide and nitric acid. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 硝酸铁 - category - Iron(III) nitrate (Fe(NO₃)₃), a product of the reaction in Question 1. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 水 - category - Water (H₂O), a byproduct in both chemical reactions described. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 二氧化氮 - category - Nitrogen dioxide (NO₂), a gaseous byproduct in Question 1's reaction. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 问题2 - event - Question 2 describes the combustion reaction of hydrogen and oxygen. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 氢气 - category - Hydrogen gas (H₂), a reactant in the combustion reaction described in Question 2. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 氧气 - category - Oxygen gas (O₂), a reactant in the combustion reaction described in Question 2. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 问题3 - event - Question 3 indicates an image file is present in the document. - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 9.0 - Iron(II) oxide reacts with nitric acid to produce iron(III) nitrate, water, and nitrogen dioxide. - acid-base,chemical reaction - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 10.0 - Hydrogen gas combusts with oxygen gas to produce water. - combustion,synthesis - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 8.0 - Question 1 describes the reaction involving iron(II) oxide. - chemical equation,problem statement - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 8.0 - Question 1 describes the reaction involving nitric acid. - chemical equation,problem statement - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 9.0 - Iron(II) oxide reacts with nitric acid under heating to produce iron(III) nitrate, water, and nitrogen dioxide. - acid-base,chemical reaction - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 8.0 - Question 2 describes the reaction involving hydrogen gas. - chemical equation,problem statement - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 8.0 - Question 2 describes the reaction involving oxygen gas. - chemical equation,problem statement - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - 10.0 - Hydrogen gas combusts with oxygen gas to produce water. - combustion,synthesis - chunk-7a1c5d06c754b1ae3ec624417caf8cc8 - unknown_source - 1752033450 - - - diff --git a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json index 59e5f1df..ed7aa806 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json +++ b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json @@ -1,12 +1,12 @@ { - "doc-7a1c5d06c754b1ae3ec624417caf8cc8": { - "status": "processed", + "doc-6fa0ffc837132d73ca1fce4e45e740a8": { + "status": "processing", "chunks_count": 1, - "content": "问题1 氧化铁和硝酸的反应方程式\n FeO+4HNO_{ 3 } begin{array} {} {underline{ quad 加热quad }} end{array} Fe(NO_{ 3 } )_{ 3 } +2H_{ 2 } O+NO_{ 2 } ↑ \n问题2 氢气与氧气燃烧的方程式\n 2H_{ 2 } +O_{ 2 } =2H_{ 2 } O \n问题3 我是一个图片\n![](./static/Images/570174f6d99b426cacb70c1134a87c26/media/image3.png)", - "content_summary": "问题1 氧化铁和硝酸的反应方程式\n FeO+4HNO_{ 3 } begin{array} {} {underline{ quad 加热quad }} end{array} Fe(NO_{ 3 } )_{ 3 } +2H_{ 2 } O+NO_{ 2 } ↑ \n问题2 氢气与氧气燃烧的方程式\n 2H_{ 2 } +O_{ 2 } =2H_{ 2 } O \n问题3 我是一个图片\n![](./static/Images/570174f6d99b426cacb70c...", - "content_length": 278, - "created_at": "2025-07-09T03:56:43.211077+00:00", - "updated_at": "2025-07-09T03:57:32.069645+00:00", + "content": "氧化铁和硝酸的反应方程式1\n$$FeO + 4HNO_{3} triangleq Feleft( No_{3} right)_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的方程式\n 2H_{ 2 } +O_{ 2 } =2H_{ 2 } O", + "content_summary": "氧化铁和硝酸的反应方程式1\n$$FeO + 4HNO_{3} triangleq Feleft( No_{3} right)_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的方程式\n 2H_{ 2 } +O_{ 2 } =2H_{ 2 } O", + "content_length": 148, + "created_at": "2025-07-09T05:01:08.133985+00:00", + "updated_at": "2025-07-09T05:01:08.140793+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 50cba95d..00000000 --- a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "doc-7a1c5d06c754b1ae3ec624417caf8cc8": { - "content": "问题1 氧化铁和硝酸的反应方程式\n FeO+4HNO_{ 3 } begin{array} {} {underline{ quad 加热quad }} end{array} Fe(NO_{ 3 } )_{ 3 } +2H_{ 2 } O+NO_{ 2 } ↑ \n问题2 氢气与氧气燃烧的方程式\n 2H_{ 2 } +O_{ 2 } =2H_{ 2 } O \n问题3 我是一个图片\n![](./static/Images/570174f6d99b426cacb70c1134a87c26/media/image3.png)" - } -} \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json b/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json index 674f358a..73bc9625 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json +++ b/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json @@ -20,5 +20,17 @@ "embedding_max": null, "original_prompt": "[{\"role\": \"user\", \"content\": \"---Goal---\\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\\nUse English as output language.\\n\\n---Steps---\\n1. Identify all entities. For each identified entity, extract the following information:\\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\\n- entity_type: One of the following types: [organization,person,geo,event,category]\\n- entity_description: Comprehensive description of the entity's attributes and activities\\nFormat each entity as (\\\"entity\\\"<|><|><|>)\\n\\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\\nFor each pair of related entities, extract the following information:\\n- source_entity: name of the source entity, as identified in step 1\\n- target_entity: name of the target entity, as identified in step 1\\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\\nFormat each relationship as (\\\"relationship\\\"<|><|><|><|><|>)\\n\\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\\nFormat the content-level key words as (\\\"content_keywords\\\"<|>)\\n\\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\\n\\n5. When finished, output <|COMPLETE|>\\n\\n######################\\n---Examples---\\n######################\\nExample 1:\\n\\nEntity_types: [person, technology, mission, organization, location]\\nText:\\n```\\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\\n\\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \\\"If this tech can be understood...\\\" Taylor said, their voice quieter, \\\"It could change the game for us. For all of us.\\\"\\n\\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\\n\\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Alex\\\"<|>\\\"person\\\"<|>\\\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"Taylor\\\"<|>\\\"person\\\"<|>\\\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\\\")##\\n(\\\"entity\\\"<|>\\\"Jordan\\\"<|>\\\"person\\\"<|>\\\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\\\")##\\n(\\\"entity\\\"<|>\\\"Cruz\\\"<|>\\\"person\\\"<|>\\\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"The Device\\\"<|>\\\"technology\\\"<|>\\\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\\\")##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Taylor\\\"<|>\\\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\\\"<|>\\\"power dynamics, perspective shift\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Jordan\\\"<|>\\\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\\\"<|>\\\"shared goals, rebellion\\\"<|>6)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"Jordan\\\"<|>\\\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\\\"<|>\\\"conflict resolution, mutual respect\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Jordan\\\"<|>\\\"Cruz\\\"<|>\\\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\\\"<|>\\\"ideological conflict, rebellion\\\"<|>5)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"The Device\\\"<|>\\\"Taylor shows reverence towards the device, indicating its importance and potential impact.\\\"<|>\\\"reverence, technological significance\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"power dynamics, ideological conflict, discovery, rebellion\\\")<|COMPLETE|>\\n#############################\\nExample 2:\\n\\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\\nText:\\n```\\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\\n\\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\\n\\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\\n\\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Global Tech Index\\\"<|>\\\"index\\\"<|>\\\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\\\")##\\n(\\\"entity\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"company\\\"<|>\\\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\\\")##\\n(\\\"entity\\\"<|>\\\"Omega Energy\\\"<|>\\\"company\\\"<|>\\\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\\\")##\\n(\\\"entity\\\"<|>\\\"Gold Futures\\\"<|>\\\"commodity\\\"<|>\\\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\\\")##\\n(\\\"entity\\\"<|>\\\"Crude Oil\\\"<|>\\\"commodity\\\"<|>\\\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\\\")##\\n(\\\"entity\\\"<|>\\\"Market Selloff\\\"<|>\\\"market_trend\\\"<|>\\\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\\\")##\\n(\\\"entity\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"economic_policy\\\"<|>\\\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\\\")##\\n(\\\"relationship\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Market Selloff\\\"<|>\\\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\\\"<|>\\\"market performance, investor sentiment\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\\\"<|>\\\"company impact, index movement\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Gold Futures\\\"<|>\\\"Market Selloff\\\"<|>\\\"Gold prices rose as investors sought safe-haven assets during the market selloff.\\\"<|>\\\"market reaction, safe-haven investment\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"Market Selloff\\\"<|>\\\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\\\"<|>\\\"interest rate impact, financial regulation\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\\\")<|COMPLETE|>\\n#############################\\nExample 3:\\n\\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\\nText:\\n```\\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"event\\\"<|>\\\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\\\")##\\n(\\\"entity\\\"<|>\\\"Tokyo\\\"<|>\\\"location\\\"<|>\\\"Tokyo is the host city of the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"Noah Carter\\\"<|>\\\"athlete\\\"<|>\\\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"record\\\"<|>\\\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\\\")##\\n(\\\"entity\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"equipment\\\"<|>\\\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\\\")##\\n(\\\"entity\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"organization\\\"<|>\\\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\\\")##\\n(\\\"relationship\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"Tokyo\\\"<|>\\\"The World Athletics Championship is being hosted in Tokyo.\\\"<|>\\\"event location, international competition\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"Noah Carter set a new 100m sprint record at the championship.\\\"<|>\\\"athlete achievement, record-breaking\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\\\"<|>\\\"athletic equipment, performance boost\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\\\"<|>\\\"sports regulation, record certification\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"athletics, sprinting, record-breaking, sports technology, competition\\\")<|COMPLETE|>\\n#############################\\n\\n#############################\\n---Real Data---\\n######################\\nEntity_types: [organization,person,geo,event,category]\\nText:\\n问题1 氧化铁和硝酸的反应方程式\\n FeO+4HNO_{ 3 } begin{array} {} {underline{ quad 加热quad }} end{array} Fe(NO_{ 3 } )_{ 3 } +2H_{ 2 } O+NO_{ 2 } ↑ \\n问题2 氢气与氧气燃烧的方程式\\n 2H_{ 2 } +O_{ 2 } =2H_{ 2 } O \\n问题3 我是一个图片\\n![](./static/Images/570174f6d99b426cacb70c1134a87c26/media/image3.png)\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"FeO\\\"<|>\\\"category\\\"<|>\\\"Iron(II) oxide, a chemical compound involved in the reaction with nitric acid.\\\")##\\n(\\\"entity\\\"<|>\\\"HNO3\\\"<|>\\\"category\\\"<|>\\\"Nitric acid, a strong acid used in the reaction with iron(II) oxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Fe(NO3)3\\\"<|>\\\"category\\\"<|>\\\"Iron(III) nitrate, a product of the reaction between iron(II) oxide and nitric acid.\\\")##\\n(\\\"entity\\\"<|>\\\"H2O\\\"<|>\\\"category\\\"<|>\\\"Water, a byproduct in both chemical reactions described.\\\")##\\n(\\\"entity\\\"<|>\\\"NO2\\\"<|>\\\"category\\\"<|>\\\"Nitrogen dioxide, a gaseous byproduct of the reaction between iron(II) oxide and nitric acid.\\\")##\\n(\\\"entity\\\"<|>\\\"H2\\\"<|>\\\"category\\\"<|>\\\"Hydrogen gas, a reactant in the combustion reaction with oxygen.\\\")##\\n(\\\"entity\\\"<|>\\\"O2\\\"<|>\\\"category\\\"<|>\\\"Oxygen gas, a reactant in the combustion reaction with hydrogen.\\\")##\\n(\\\"relationship\\\"<|>\\\"FeO\\\"<|>\\\"HNO3\\\"<|>\\\"Iron(II) oxide reacts with nitric acid to produce iron(III) nitrate, water, and nitrogen dioxide.\\\"<|>\\\"chemical reaction, acid-base\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"H2\\\"<|>\\\"O2\\\"<|>\\\"Hydrogen gas combusts with oxygen gas to produce water.\\\"<|>\\\"combustion, synthesis\\\"<|>10)##\\n(\\\"content_keywords\\\"<|>\\\"chemical reactions, equations, chemistry, oxidation\\\")<|COMPLETE|>\"}]\nMANY entities and relationships were missed in the last extraction.\n\n---Remember Steps---\n\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n---Output---\n\nAdd them below using the same format:" } + }, + "hybrid": { + "4f14c8eb17bda74f30ebe531b66f8c69": { + "return": "{\"high_level_keywords\": [\"\\u5316\\u5b66\\u53cd\\u5e94\", \"\\u6c27\\u5316\\u94c1\", \"\\u785d\\u9178\"], \"low_level_keywords\": [\"\\u5316\\u5b66\\u65b9\\u7a0b\\u5f0f\", \"Fe2O3\", \"HNO3\", \"\\u53cd\\u5e94\\u4ea7\\u7269\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "氧化铁与硝酸的化学反应方程式是什么？" + } } } \ 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 a5eff62c..00000000 --- a/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "chunk-7a1c5d06c754b1ae3ec624417caf8cc8": { - "tokens": 156, - "content": "问题1 氧化铁和硝酸的反应方程式\n FeO+4HNO_{ 3 } begin{array} {} {underline{ quad 加热quad }} end{array} Fe(NO_{ 3 } )_{ 3 } +2H_{ 2 } O+NO_{ 2 } ↑ \n问题2 氢气与氧气燃烧的方程式\n 2H_{ 2 } +O_{ 2 } =2H_{ 2 } O \n问题3 我是一个图片\n![](./static/Images/570174f6d99b426cacb70c1134a87c26/media/image3.png)", - "chunk_order_index": 0, - "full_doc_id": "doc-7a1c5d06c754b1ae3ec624417caf8cc8", - "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 64cd1afb..00000000 --- a/dsLightRag/Topic/Chemistry/vdb_chunks.json +++ /dev/null @@ -1 +0,0 @@ -{"embedding_dim": 1024, "data": [{"__id__": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "__created_at__": 1752033403, "content": "问题1 氧化铁和硝酸的反应方程式\n FeO+4HNO_{ 3 } begin{array} {} {underline{ quad 加热quad }} end{array} Fe(NO_{ 3 } )_{ 3 } +2H_{ 2 } O+NO_{ 2 } ↑ \n问题2 氢气与氧气燃烧的方程式\n 2H_{ 2 } +O_{ 2 } =2H_{ 2 } O \n问题3 我是一个图片\n![](./static/Images/570174f6d99b426cacb70c1134a87c26/media/image3.png)", "full_doc_id": "doc-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}], "matrix": 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\ 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 d528e2bf..00000000 --- a/dsLightRag/Topic/Chemistry/vdb_entities.json +++ /dev/null @@ -1 +0,0 @@ -{"embedding_dim": 1024, "data": [{"__id__": "ent-9d319891f5c0f5f8005c29e4876e258d", "__created_at__": 1752033450, "entity_name": "FeO", "content": "FeO\nIron(II) oxide, a chemical compound involved in the reaction with nitric acid.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-44abbd327c3bc3645d73af8f84966a65", "__created_at__": 1752033450, "entity_name": "HNO3", "content": "HNO3\nNitric acid, a strong acid used in the reaction with iron(II) oxide.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-3ec7f433e29a7c87ff6ba1b79087858f", "__created_at__": 1752033450, "entity_name": "Fe(NO3)3", "content": "Fe(NO3)3\nIron(III) nitrate, a product of the reaction between iron(II) oxide and nitric acid.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-b89e91ccf14bfd7f485dd7be7d789b0a", "__created_at__": 1752033450, "entity_name": "H2O", "content": "H2O\nWater, a byproduct in both chemical reactions described.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-91b760eb7abfcbe0579202d4e8b904c1", "__created_at__": 1752033450, "entity_name": "NO2", "content": "NO2\nNitrogen dioxide, a gaseous byproduct of the reaction between iron(II) oxide and nitric acid.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-ca2bf3f6b7e18a508253e9521510a4b5", "__created_at__": 1752033450, "entity_name": "H2", "content": "H2\nHydrogen gas, a reactant in the combustion reaction with oxygen.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-bfc60714f62f15e1e72e0b21454cc99e", "__created_at__": 1752033450, "entity_name": "O2", "content": "O2\nOxygen gas, a reactant in the combustion reaction with hydrogen.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-84659740eb50015fafadb100f21debd9", "__created_at__": 1752033450, "entity_name": "问题1", "content": "问题1\nQuestion 1 describes a chemical reaction between iron(II) oxide and nitric acid.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-7f3f40b149836e219fde3f5ec3bee219", "__created_at__": 1752033450, "entity_name": "氧化铁", "content": "氧化铁\nIron(II) oxide (FeO), a reactant in the chemical reaction described in Question 1.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-44635b939a0dac857d1d84583d9cdbfc", "__created_at__": 1752033450, "entity_name": "硝酸", "content": "硝酸\nNitric acid (HNO₃), a reactant in the chemical reaction described in Question 1.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-ce51eb3899c2b45d97be39081bb2d18f", "__created_at__": 1752033450, "entity_name": "加热", "content": "加热\nHeating is the condition required for the reaction between iron(II) oxide and nitric acid.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-39b9c01f6d7c02a815d72e8aa4300d43", "__created_at__": 1752033450, "entity_name": "硝酸铁", "content": "硝酸铁\nIron(III) nitrate (Fe(NO₃)₃), a product of the reaction in Question 1.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-eab619fba24a1ea828eebee4f54a138f", "__created_at__": 1752033450, "entity_name": "水", "content": "水\nWater (H₂O), a byproduct in both chemical reactions described.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-af78119e75a899a37b59c6d3cdf9bd8f", "__created_at__": 1752033450, "entity_name": "二氧化氮", "content": "二氧化氮\nNitrogen dioxide (NO₂), a gaseous byproduct in Question 1's reaction.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-60d984658386cc8de59327dbf6f7d0c5", "__created_at__": 1752033450, "entity_name": "问题2", "content": "问题2\nQuestion 2 describes the combustion reaction of hydrogen and oxygen.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-a9fd7dcf0855ca37941cd02429f5cef9", "__created_at__": 1752033450, "entity_name": "氢气", "content": "氢气\nHydrogen gas (H₂), a reactant in the combustion reaction described in Question 2.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-5efee68823291bc4ac21479758bde4c4", "__created_at__": 1752033450, "entity_name": "氧气", "content": "氧气\nOxygen gas (O₂), a reactant in the combustion reaction described in Question 2.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "ent-410a12c8d42ed780d1f54a5df60c74fb", "__created_at__": 1752033450, "entity_name": "问题3", "content": "问题3\nQuestion 3 indicates an image file is present in the document.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "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 e9f4333e..00000000 --- a/dsLightRag/Topic/Chemistry/vdb_relationships.json +++ /dev/null @@ -1 +0,0 @@ -{"embedding_dim": 1024, "data": [{"__id__": "rel-dafba38bab65b1e03657b0988e5eca8f", "__created_at__": 1752033451, "src_id": "FeO", "tgt_id": "HNO3", "content": "FeO\tHNO3\nacid-base,chemical reaction\nIron(II) oxide reacts with nitric acid to produce iron(III) nitrate, water, and nitrogen dioxide.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "rel-6e0a23112109bc1afb3395386593166c", "__created_at__": 1752033451, "src_id": "H2", "tgt_id": "O2", "content": "H2\tO2\ncombustion,synthesis\nHydrogen gas combusts with oxygen gas to produce water.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "rel-64070e3f65ba14529879be04181b2124", "__created_at__": 1752033451, "src_id": "氧化铁", "tgt_id": "硝酸", "content": "氧化铁\t硝酸\nacid-base,chemical reaction\nIron(II) oxide reacts with nitric acid under heating to produce iron(III) nitrate, water, and nitrogen dioxide.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "rel-160441d147cfe7777a9723167faeb22a", "__created_at__": 1752033451, "src_id": "氢气", "tgt_id": "氧气", "content": "氢气\t氧气\ncombustion,synthesis\nHydrogen gas combusts with oxygen gas to produce water.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "rel-555791951d852e2f777e19d92c8e2acb", "__created_at__": 1752033451, "src_id": "氧化铁", "tgt_id": "问题1", "content": "氧化铁\t问题1\nchemical equation,problem statement\nQuestion 1 describes the reaction involving iron(II) oxide.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "rel-1cf4cb25c581099454e3c90f65849fd2", "__created_at__": 1752033451, "src_id": "硝酸", "tgt_id": "问题1", "content": "硝酸\t问题1\nchemical equation,problem statement\nQuestion 1 describes the reaction involving nitric acid.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "rel-2353a4c6353fc094f3308e93e079cde7", "__created_at__": 1752033451, "src_id": "氢气", "tgt_id": "问题2", "content": "氢气\t问题2\nchemical equation,problem statement\nQuestion 2 describes the reaction involving hydrogen gas.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}, {"__id__": "rel-e73e472e53256df326f7cd7c6f0a3215", "__created_at__": 1752033451, "src_id": "氧气", "tgt_id": "问题2", "content": "氧气\t问题2\nchemical equation,problem statement\nQuestion 2 describes the reaction involving oxygen gas.", "source_id": "chunk-7a1c5d06c754b1ae3ec624417caf8cc8", "file_path": "unknown_source"}], "matrix": 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