🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 37 (from laksa083)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa037.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://neo4j.com/videos/neo4j-live-vector-search/\')), getAhrefsUnparsedNoserviceFromURL(\'https://neo4j.com/videos/neo4j-live-vector-search/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/neo4j.com\/videos\/neo4j-live-vector-search\/","crawl_time":1775679370,"first_indexed_time":1714863091,"http_code":200,"src_unparsed":"com,neo4j!\/videos\/neo4j-live-vector-search\/ s443","src_root_hash":"12828843287614304637","history_drop_reason":null,"meta_title":"Video: Neo4j Live: Vector Search","meta_descriptions":[],"attrs_boilerpipe_text":"In this episode we dive into the capabilities of Neo4j Vector Search.\nThis session will focus on the exciting potential of vector indexes in Neo4j, which facilitate efficient and accurate searching of data by comparing the semantic similarities between vectors.\nGuest: David Pond, Neo4j\nVector Search Index:\nhttps:\/\/neo4j.com\/docs\/cypher-manual\/current\/indexes\/semantic-indexes\/vector-indexes\/\nVector Index GraphAcademy Course:\nhttps:\/\/graphacademy.neo4j.com\/courses\/llm-vectors-unstructured\/\nKnowledge Graph Builder App:\nhttps:\/\/youtube.com\/live\/NbyxWAC2TLc\nReflection Agents:\nhttps:\/\/youtube.com\/live\/Sra-1xhNn28\nNeo4j Migration:\nhttps:\/\/neo4j.com\/docs\/upgrade-migration-guide\/current\/\nBlock Format:\nhttps:\/\/medium.com\/neo4j\/try-neo4js-next-gen-graph-native-store-format-def10148c007\nNeo4j Release Notes:\nhttps:\/\/neo4j.com\/release-notes\/database\/neo4j-5\/\n#neo4j #graphdatabase #vector #index #database","attrs_markdown":"[Skip to content](https:\/\/neo4j.com\/videos\/neo4j-live-vector-search\/#skip-to-content \"Skip to content\")\n\nNODES AI: Online Conference for Graph + AI - April 15, 2026 \\| [Register Today](https:\/\/neo4j.com\/nodes-ai)\n\n[![The Neo4j Graph Platform – The \\#1 Platform for Connected Data](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20230926084108\/Logo_FullColor_RGB_TransBG.svg)](https:\/\/neo4j.com\/)\n\nMenu\n\n![Neo4j logo](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20230926084108\/Logo_FullColor_RGB_TransBG.svg)\n\nSearch\n\nClose Menu\n\n- [Products](https:\/\/neo4j.com\/videos\/neo4j-live-vector-search\/)\n  - GRAPH DATABASE\n  - [Neo4j AuraDB Fully managed graph database as a service](https:\/\/neo4j.com\/product\/auradb\/)\n  - [Neo4j Graph Database Self managed, deploy anywhere graph database](https:\/\/neo4j.com\/product\/neo4j-graph-database\/)\n  - GRAPH ANALYTICS\n  - [Neo4j Aura Graph Analytics Fully managed graph analytics as a service](https:\/\/neo4j.com\/product\/aura-graph-analytics\/)\n  - [Neo4j Graph Data Science Self managed graph algorithms and ML modeling](https:\/\/neo4j.com\/product\/graph-data-science\/)\n  - GRAPH AI\n  - [Neo4j Aura Agent A single console to manage all your DB instances](https:\/\/neo4j.com\/product\/aura-agent\/)\n  - GRAPH TOOLS\n  - [Neo4j Fleet Manager A single control plane to manage all your DB instances](https:\/\/neo4j.com\/product\/fleet-manager\/)\n  - [Neo4j Bloom Easy graph visualization and exploration](https:\/\/neo4j.com\/product\/bloom\/)\n  - PARTNER SOLUTIONS\n  - [Neo4j Graph Analytics for Snowflake Fully managed graph analytics within Snowflake AI Data Cloud](https:\/\/neo4j.com\/neo4j-graph-analytics-snowflake\/)\n  - [Neo4j Graph Intelligence for Microsoft Fabric Fully managed graph database and analytics integrated in Fabric](https:\/\/neo4j.com\/neo4j-graph-intelligence-microsoft-fabric\/)\n- [Use Cases](https:\/\/neo4j.com\/videos\/neo4j-live-vector-search\/)\n  - [AI Systems Back your LLMs with a knowledge graph for better business AI](https:\/\/neo4j.com\/use-cases\/ai-systems\/)\n  - [Industries and Use Cases Fraud detection, knowledge graphs, financial services, and more](https:\/\/neo4j.com\/use-cases\/)\n  - [Customer Success Stories Case studies, customer videos, proof points, and more](https:\/\/neo4j.com\/customer-stories\/)\n- [Developers](https:\/\/neo4j.com\/videos\/neo4j-live-vector-search\/)\n  - [Developer Center Best practices, guides, tutorials, and downloads](https:\/\/neo4j.com\/developer\/)\n  - [GraphAcademy![](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20240402072516\/Icon-GraphAcademy.svg) Free online courses and certifications. Join the 100K+ Neo4j experts.](https:\/\/graphacademy.neo4j.com\/)\n  - DEVELOPERS\n  - [Deployment Center Deploy Neo4j on any cloud or architecture](https:\/\/neo4j.com\/deployment-center\/)\n  - [Documentation![](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20240401103728\/Icon-Documentation.svg) Manuals for Neo4j products, Cypher, and drivers](https:\/\/neo4j.com\/docs\/)\n  - [Developer Blog Deep dives into more technical Neo4j topics](https:\/\/neo4j.com\/blog\/developer\/)\n  - [Community A global forum for online discussion](https:\/\/community.neo4j.com\/)\n  - DATA SCIENTISTS\n  - [Data Science Documentation![](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20240401103728\/Icon-Documentation.svg) Manuals for the Graph Data Science library](https:\/\/neo4j.com\/docs\/graph-data-science\/current\/)\n  - [Graph Data Science Home Learn what Neo4j offers for data science](https:\/\/neo4j.com\/product\/graph-data-science\/)\n  - [Get Started With Graph Data Science Download or get started in Sandbox today](https:\/\/neo4j.com\/graph-data-science-software\/)\n  - 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Parts of Neo4j.com will not work properly.\n[Video Hub](https:\/\/neo4j.com\/videos\/)\n\n# Neo4j Live: Vector Search\nIn this episode we dive into the capabilities of Neo4j Vector Search.  \n This session will focus on the exciting potential of vector indexes in Neo4j, which facilitate efficient and accurate searching of data by comparing the semantic similarities between vectors.\n\nGuest: David Pond, Neo4j\n\nVector Search Index: <https:\/\/neo4j.com\/docs\/cypher-manual\/current\/indexes\/semantic-indexes\/vector-indexes\/>  \n Vector Index GraphAcademy Course: <https:\/\/graphacademy.neo4j.com\/courses\/llm-vectors-unstructured\/>  \n Knowledge Graph Builder App: <https:\/\/youtube.com\/live\/NbyxWAC2TLc>  \n Reflection Agents: <https:\/\/youtube.com\/live\/Sra-1xhNn28>  \n Neo4j Migration: <https:\/\/neo4j.com\/docs\/upgrade-migration-guide\/current\/>  \n Block Format: <https:\/\/medium.com\/neo4j\/try-neo4js-next-gen-graph-native-store-format-def10148c007>  \n Neo4j Release Notes: <https:\/\/neo4j.com\/release-notes\/database\/neo4j-5\/>\n\n\\#neo4j \\#graphdatabase \\#vector \\#index \\#database\n\nRelated Resources\n\nRelated Videos\n\n[070 ESG Supply Chain Knowledge Graph – NODES2022 – Dr. Julian Gruemmer](https:\/\/neo4j.com\/videos\/070-esg-supply-chain-knowledge-graph-nodes2022-dr-julian-gruemmer\/)\n\n[Introducing Workspace — The Fastest Way To Build Your Neo4j Database](https:\/\/neo4j.com\/videos\/introducing-workspace-the-fastest-way-to-build-your-neo4j-database\/)\n\n[FastRP, l’algoritmo di Node Embeddings della GDS di Neo4j (10 Min)](https:\/\/neo4j.com\/videos\/fastrp-lalgoritmo-di-node-embeddings-della-gds-di-neo4j\/)\n\n[Neo4j 5: Higher Speed with Automated Scale-out](https:\/\/neo4j.com\/videos\/neo4j-5-higher-speed-with-automated-scale-out\/)\n## Related Videos\n14:56 ![]()\n\n## 070 ESG Supply Chain Knowledge Graph – NODES2022 – Dr. Julian Gruemmer\n[Watch Video](https:\/\/neo4j.com\/videos\/070-esg-supply-chain-knowledge-graph-nodes2022-dr-julian-gruemmer\/)\n\n00:36 ![]()\n\n## Introducing Workspace — The Fastest Way To Build Your Neo4j Database\n[Watch Video](https:\/\/neo4j.com\/videos\/introducing-workspace-the-fastest-way-to-build-your-neo4j-database\/)\n\n10:53 ![]()\n\n## FastRP, l’algoritmo di Node Embeddings della GDS di Neo4j (10 Min)\n[Watch Video](https:\/\/neo4j.com\/videos\/fastrp-lalgoritmo-di-node-embeddings-della-gds-di-neo4j\/)\n\n![](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20230921083327\/homepage-viz_ART-left.svg) ![](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20230921083329\/homepage-viz_ART-right.svg) ![](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20230921082858\/homepage-viz_left-side-art_375.svg) ![](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20230921082910\/homepage-viz_right-side-art_375.svg)\n\n## Build Intelligent Apps Easily\nTransform your data into knowledge to build smart, accurate, and 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[Solution Partners](https:\/\/neo4j.com\/partners\/solution-partners\/)\n- [OEM Partners](https:\/\/neo4j.com\/partners\/oem-partners\/)\n- [Technology Partners](https:\/\/neo4j.com\/partners\/technology-partners\/)\n- [Partner Portal Login](https:\/\/neo4j.my.site.com\/Neo4jPartnerCommunity)\n\nCompany\n\n- [About Us](https:\/\/neo4j.com\/company\/)\n- [Newsroom](https:\/\/neo4j.com\/news\/)\n- [Awards and Honors](https:\/\/neo4j.com\/awards\/)\n- [Graphs4Good](https:\/\/neo4j.com\/graphs4good\/)\n- [Careers](https:\/\/neo4j.com\/careers\/)\n- [Culture](https:\/\/neo4j.com\/culture\/)\n- [Leadership](https:\/\/neo4j.com\/leadership\/)\n- [Support](https:\/\/support.neo4j.com\/s\/)\n- [Trust Center](https:\/\/trust.neo4j.com\/)\n\n[Contact Us →](https:\/\/neo4j.com\/contact-us\/?ref=footer)\n\n- US: [1-855-636-4532](tel:1-855-636-4532)\n- Sweden: [\\+46 171 480 113](<tel:+46 171 480 113>)\n- UK: [\\+44 20 3868 3223](<tel:+44 20 3868 3223>)\n- France: [\\+33 (0) 1 88 46 13 20](<tel:+33 (0) 1 88 46 13 20>)\n- Singapore: [\\+65 6859 0336](<tel:+65 6859 0336>)\n- Australia: [\\+61 2 8395 2895](<tel:+61 2 8395 2895>)\n\nSocial Networks\n\n© 2026 Neo4j, Inc.\n\n[Terms](https:\/\/legal.neo4j.com\/#website-terms-of-use) \\| [Privacy Notice](https:\/\/neo4j.com\/legal-terms\/privacy-notice\/) \\| [Sitemap](https:\/\/neo4j.com\/sitemap\/)   \n [Anti-Corruption Policy](https:\/\/assets.neo4j.com\/Neo4j_Anti-Corruption_Policy.pdf)\n\n©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.\n\n[![](https:\/\/dist.neo4j.com\/wp-content\/uploads\/20210608133508\/icon-tooltip-info.svg) Contact Us](https:\/\/neo4j.com\/contact-us\/)","attrs_readable_markdown":"In this episode we dive into the capabilities of Neo4j Vector Search.  \n This session will focus on the exciting potential of vector indexes in Neo4j, which facilitate efficient and accurate searching of data by comparing the semantic similarities between vectors.\n\nGuest: David Pond, Neo4j\n\nVector Search Index: <https:\/\/neo4j.com\/docs\/cypher-manual\/current\/indexes\/semantic-indexes\/vector-indexes\/>  \n Vector Index GraphAcademy Course: <https:\/\/graphacademy.neo4j.com\/courses\/llm-vectors-unstructured\/>  \n Knowledge Graph Builder App: <https:\/\/youtube.com\/live\/NbyxWAC2TLc>  \n Reflection Agents: <https:\/\/youtube.com\/live\/Sra-1xhNn28>  \n Neo4j Migration: <https:\/\/neo4j.com\/docs\/upgrade-migration-guide\/current\/>  \n Block Format: <https:\/\/medium.com\/neo4j\/try-neo4js-next-gen-graph-native-store-format-def10148c007>  \n Neo4j Release Notes: <https:\/\/neo4j.com\/release-notes\/database\/neo4j-5\/>\n\n\\#neo4j \\#graphdatabase \\#vector \\#index \\#database","meta_canonical":null}

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Boilerpipe Text	In this episode we dive into the capabilities of Neo4j Vector Search. This session will focus on the exciting potential of vector indexes in Neo4j, which facilitate efficient and accurate searching of data by comparing the semantic similarities between vectors. Guest: David Pond, Neo4j Vector Search Index: https://neo4j.com/docs/cypher-manual/current/indexes/semantic-indexes/vector-indexes/ Vector Index GraphAcademy Course: https://graphacademy.neo4j.com/courses/llm-vectors-unstructured/ Knowledge Graph Builder App: https://youtube.com/live/NbyxWAC2TLc Reflection Agents: https://youtube.com/live/Sra-1xhNn28 Neo4j Migration: https://neo4j.com/docs/upgrade-migration-guide/current/ Block Format: https://medium.com/neo4j/try-neo4js-next-gen-graph-native-store-format-def10148c007 Neo4j Release Notes: https://neo4j.com/release-notes/database/neo4j-5/ #neo4j #graphdatabase #vector #index #database
Markdown	[Skip to content](https://neo4j.com/videos/neo4j-live-vector-search/#skip-to-content "Skip to content") NODES AI: Online Conference for Graph + AI - April 15, 2026 \\| [Register Today](https://neo4j.com/nodes-ai) [![The Neo4j Graph Platform – The \#1 Platform for Connected Data](https://dist.neo4j.com/wp-content/uploads/20230926084108/Logo_FullColor_RGB_TransBG.svg)](https://neo4j.com/) Menu ![Neo4j logo](https://dist.neo4j.com/wp-content/uploads/20230926084108/Logo_FullColor_RGB_TransBG.svg) Search Close Menu - [Products](https://neo4j.com/videos/neo4j-live-vector-search/) - GRAPH DATABASE - [Neo4j AuraDB Fully managed graph database as a service](https://neo4j.com/product/auradb/) - [Neo4j Graph Database Self managed, deploy anywhere graph database](https://neo4j.com/product/neo4j-graph-database/) - GRAPH ANALYTICS - [Neo4j Aura Graph Analytics Fully managed graph analytics as a service](https://neo4j.com/product/aura-graph-analytics/) - [Neo4j Graph Data Science Self managed graph algorithms and ML modeling](https://neo4j.com/product/graph-data-science/) - GRAPH AI - [Neo4j Aura Agent A single console to manage all your DB instances](https://neo4j.com/product/aura-agent/) - GRAPH TOOLS - [Neo4j Fleet Manager A single control plane to manage all your DB instances](https://neo4j.com/product/fleet-manager/) - [Neo4j Bloom Easy graph visualization and exploration](https://neo4j.com/product/bloom/) - PARTNER SOLUTIONS - [Neo4j Graph Analytics for Snowflake Fully managed graph analytics within Snowflake AI Data Cloud](https://neo4j.com/neo4j-graph-analytics-snowflake/) - [Neo4j Graph Intelligence for Microsoft Fabric Fully managed graph database and analytics integrated in Fabric](https://neo4j.com/neo4j-graph-intelligence-microsoft-fabric/) - [Use Cases](https://neo4j.com/videos/neo4j-live-vector-search/) - [AI Systems Back your LLMs with a knowledge graph for better business AI](https://neo4j.com/use-cases/ai-systems/) - [Industries and Use Cases Fraud detection, knowledge graphs, financial services, and more](https://neo4j.com/use-cases/) - [Customer Success Stories Case studies, customer videos, proof points, and more](https://neo4j.com/customer-stories/) - [Developers](https://neo4j.com/videos/neo4j-live-vector-search/) - [Developer Center Best practices, guides, tutorials, and downloads](https://neo4j.com/developer/) - [GraphAcademy![](https://dist.neo4j.com/wp-content/uploads/20240402072516/Icon-GraphAcademy.svg) Free online courses and certifications. 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Parts of Neo4j.com will not work properly. [Video Hub](https://neo4j.com/videos/) # Neo4j Live: Vector Search In this episode we dive into the capabilities of Neo4j Vector Search. This session will focus on the exciting potential of vector indexes in Neo4j, which facilitate efficient and accurate searching of data by comparing the semantic similarities between vectors. Guest: David Pond, Neo4j Vector Search Index: <https://neo4j.com/docs/cypher-manual/current/indexes/semantic-indexes/vector-indexes/> Vector Index GraphAcademy Course: <https://graphacademy.neo4j.com/courses/llm-vectors-unstructured/> Knowledge Graph Builder App: <https://youtube.com/live/NbyxWAC2TLc> Reflection Agents: <https://youtube.com/live/Sra-1xhNn28> Neo4j Migration: <https://neo4j.com/docs/upgrade-migration-guide/current/> Block Format: <https://medium.com/neo4j/try-neo4js-next-gen-graph-native-store-format-def10148c007> Neo4j Release Notes: <https://neo4j.com/release-notes/database/neo4j-5/> \#neo4j \#graphdatabase \#vector \#index \#database Related Resources Related Videos [070 ESG Supply Chain Knowledge Graph – NODES2022 – Dr. Julian Gruemmer](https://neo4j.com/videos/070-esg-supply-chain-knowledge-graph-nodes2022-dr-julian-gruemmer/) [Introducing Workspace — The Fastest Way To Build Your Neo4j Database](https://neo4j.com/videos/introducing-workspace-the-fastest-way-to-build-your-neo4j-database/) [FastRP, l’algoritmo di Node Embeddings della GDS di Neo4j (10 Min)](https://neo4j.com/videos/fastrp-lalgoritmo-di-node-embeddings-della-gds-di-neo4j/) [Neo4j 5: Higher Speed with Automated Scale-out](https://neo4j.com/videos/neo4j-5-higher-speed-with-automated-scale-out/) ## Related Videos 14:56 ![]() ## 070 ESG Supply Chain Knowledge Graph – NODES2022 – Dr. Julian Gruemmer [Watch Video](https://neo4j.com/videos/070-esg-supply-chain-knowledge-graph-nodes2022-dr-julian-gruemmer/) 00:36 ![]() ## Introducing Workspace — The Fastest Way To Build Your Neo4j Database [Watch Video](https://neo4j.com/videos/introducing-workspace-the-fastest-way-to-build-your-neo4j-database/) 10:53 ![]() ## FastRP, l’algoritmo di Node Embeddings della GDS di Neo4j (10 Min) [Watch Video](https://neo4j.com/videos/fastrp-lalgoritmo-di-node-embeddings-della-gds-di-neo4j/) ![](https://dist.neo4j.com/wp-content/uploads/20230921083327/homepage-viz_ART-left.svg) ![](https://dist.neo4j.com/wp-content/uploads/20230921083329/homepage-viz_ART-right.svg) ![](https://dist.neo4j.com/wp-content/uploads/20230921082858/homepage-viz_left-side-art_375.svg) ![](https://dist.neo4j.com/wp-content/uploads/20230921082910/homepage-viz_right-side-art_375.svg) ## Build Intelligent Apps Easily Transform your data into knowledge to build smart, accurate, and adaptive applications. 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Readable Markdown	In this episode we dive into the capabilities of Neo4j Vector Search. This session will focus on the exciting potential of vector indexes in Neo4j, which facilitate efficient and accurate searching of data by comparing the semantic similarities between vectors. Guest: David Pond, Neo4j Vector Search Index: <https://neo4j.com/docs/cypher-manual/current/indexes/semantic-indexes/vector-indexes/> Vector Index GraphAcademy Course: <https://graphacademy.neo4j.com/courses/llm-vectors-unstructured/> Knowledge Graph Builder App: <https://youtube.com/live/NbyxWAC2TLc> Reflection Agents: <https://youtube.com/live/Sra-1xhNn28> Neo4j Migration: <https://neo4j.com/docs/upgrade-migration-guide/current/> Block Format: <https://medium.com/neo4j/try-neo4js-next-gen-graph-native-store-format-def10148c007> Neo4j Release Notes: <https://neo4j.com/release-notes/database/neo4j-5/> \#neo4j \#graphdatabase \#vector \#index \#database
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