[
  {
    "id": "elastic-docs-1",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search",
    "excerpt": "When you index content into a `semantic_text` field, Elasticsearch automatically generates vector embeddings using a configured machine learning model and stores them in the underlying vector field.",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-2",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/hybrid-search",
    "excerpt": "Hybrid search runs full-text search and vector search in one request.",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-3",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/hybrid-search",
    "excerpt": "We recommend implementing hybrid search with the reciprocal rank fusion (RRF) algorithm.",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-4",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/vector",
    "excerpt": "Elasticsearch can combine vector search with full-text search, structured filters, aggregations, and hybrid retrieval in one engine",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-5",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/deploy-manage/deploy/self-managed/local-development-installation-quickstart",
    "excerpt": "curl -fsSL https://elastic.co/start-local | sh",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-6",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/reference/elasticsearch-clients",
    "excerpt": "Elasticsearch is easy to use from most popular programming languages, thanks to the wide range of official libraries and developer tools available.",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-7",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/deploy-manage/deploy/elastic-cloud/serverless",
    "excerpt": "Elastic Cloud Serverless automatically provisions, manages, and scales your Elasticsearch resources based on your actual usage.",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-8",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/get-started",
    "excerpt": "If you are a new user, sign up for a free 14-day trial to create a serverless project.",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-9",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/semantic-search",
    "excerpt": "The inference API workflow is more complex but offers greater control over the inference endpoint configuration.",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-10",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs",
    "excerpt": "Install official skills that teach AI coding agents how to work with Elasticsearch, Kibana, Fleet, and the rest of the Elastic stack.",
    "fetchedAt": "2026-09-06T21:58:33.920Z"
  },
  {
    "id": "elastic-docs-11",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search",
    "excerpt": "When you index content into a `semantic_text` field, Elasticsearch automatically generates vector embeddings using a configured machine learning model",
    "fetchedAt": "2026-09-06T22:00:56.021Z"
  },
  {
    "id": "elastic-docs-12",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/vector",
    "excerpt": "You can deploy external or hosted embedding models, or bring your own pre-computed vectors.",
    "fetchedAt": "2026-09-06T22:00:56.021Z"
  },
  {
    "id": "elastic-docs-13",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/get-started",
    "excerpt": "Elastic provides several self-managed and Elastic-managed options.",
    "fetchedAt": "2026-09-06T22:00:56.021Z"
  },
  {
    "id": "elastic-docs-14",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co",
    "excerpt": "Unify global visibility without paying to move or duplicate your data.",
    "fetchedAt": "2026-09-06T22:00:56.021Z"
  },
  {
    "id": "elastic-docs-15",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co",
    "excerpt": "Elasticsearch is 30x faster than Prom at 50% the cost of Datadog",
    "fetchedAt": "2026-09-06T22:00:56.021Z"
  },
  {
    "id": "elastic-docs-16",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/hybrid-search",
    "excerpt": "We recommend implementing hybrid search with the reciprocal rank fusion (RRF) algorithm. This approach merges rankings from the full-text and vector queries",
    "fetchedAt": "2026-09-06T22:02:25.335Z"
  },
  {
    "id": "elastic-docs-17",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/deploy-manage/deploy/self-managed/local-development-installation-quickstart",
    "excerpt": "Quickly set up Elasticsearch and Kibana in Docker for local development or testing, using this one-liner in the command line.",
    "fetchedAt": "2026-09-06T22:02:25.335Z"
  },
  {
    "id": "elastic-docs-18",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search",
    "excerpt": "RAG (Retrieval Augmented Generation) systems",
    "fetchedAt": "2026-09-06T22:02:25.335Z"
  },
  {
    "id": "elastic-docs-19",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/vector",
    "excerpt": "Elasticsearch functions as a vector database when you store embeddings in `dense_vector` or `sparse_vector` fields and query them for similarity.",
    "fetchedAt": "2026-09-06T22:02:25.335Z"
  },
  {
    "id": "elastic-docs-20",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/release-notes/elasticsearch",
    "excerpt": "Speed up vector quantization calibration during index merge",
    "fetchedAt": "2026-09-06T22:02:25.335Z"
  },
  {
    "id": "elastic-docs-21",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/deploy-manage/deploy/elastic-cloud/serverless",
    "excerpt": "instead of managing clusters, nodes, data tiers, and scaling, you create serverless projects that are fully managed and automatically scaled by Elastic",
    "fetchedAt": "2026-09-06T22:02:25.335Z"
  },
  {
    "id": "elastic-docs-22",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/vector",
    "excerpt": "Elasticsearch functions as a vector database when you store embeddings in dense_vector or sparse_vector fields and query them for similarity.",
    "fetchedAt": "2026-09-06T22:03:59.604Z"
  },
  {
    "id": "elastic-docs-23",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/semantic-search",
    "excerpt": "All you need to do is create an index mapping to start ingesting, embedding, and querying data. There is no need to define model-related settings and parameters, or to create inference ingest pipelines.",
    "fetchedAt": "2026-09-06T22:03:59.604Z"
  },
  {
    "id": "elastic-docs-24",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/hybrid-search",
    "excerpt": "Hybrid search runs full-text search and vector search in one request... We recommend implementing hybrid search with the reciprocal rank fusion (RRF) algorithm.",
    "fetchedAt": "2026-09-06T22:03:59.604Z"
  },
  {
    "id": "elastic-docs-25",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/deploy-manage/deploy/elastic-cloud/serverless",
    "excerpt": "instead of managing clusters, nodes, data tiers, and scaling, you create serverless projects that are fully managed and automatically scaled by Elastic.",
    "fetchedAt": "2026-09-06T22:03:59.604Z"
  },
  {
    "id": "elastic-docs-26",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/deploy-manage/deploy/elastic-cloud/serverless",
    "excerpt": "Management free: Elastic manages the underlying Elastic cluster, so you can focus on your data... Autoscaled: To meet your performance requirements, the system automatically adjusts to your workloads.",
    "fetchedAt": "2026-09-06T22:03:59.604Z"
  },
  {
    "id": "elastic-docs-27",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/cloud/serverless",
    "excerpt": "Separating search and index tiers enables workloads to be scaled independently and reliably, with optimized hardware for each use case.",
    "fetchedAt": "2026-09-06T22:03:59.604Z"
  },
  {
    "id": "elastic-docs-28",
    "tier": "claimed-docs",
    "url": "https://github.com/elastic/mcp-server-elasticsearch",
    "excerpt": "elastic / mcp-server-elasticsearch Public",
    "fetchedAt": "2026-09-06T22:03:59.604Z"
  },
  {
    "id": "elastic-docs-29",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/release-notes/elasticsearch",
    "excerpt": "Add `request.raw_body` to audit events for protobuf request bodies",
    "fetchedAt": "2026-09-06T22:03:59.604Z"
  },
  {
    "id": "elastic-docs-30",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/semantic-search",
    "excerpt": "All you need to do is create an index mapping to start ingesting, embedding, and querying data. There is no need to define model-related settings and parameters",
    "fetchedAt": "2026-09-06T22:04:41.005Z"
  },
  {
    "id": "elastic-docs-31",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search/hybrid-search",
    "excerpt": "We recommend implementing hybrid search with the [reciprocal rank fusion (RRF)](https://www.elastic.co/docs/reference/elasticsearch/rest-apis/reciprocal-rank-fusion) algorithm.",
    "fetchedAt": "2026-09-06T22:04:41.005Z"
  },
  {
    "id": "elastic-docs-32",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/deploy-manage/deploy/elastic-cloud/serverless",
    "excerpt": "instead of managing clusters, nodes, data tiers, and scaling, you create **serverless projects** that are fully managed and automatically scaled by Elastic",
    "fetchedAt": "2026-09-06T22:04:41.005Z"
  },
  {
    "id": "elastic-docs-33",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/deploy-manage/deploy/elastic-cloud/serverless",
    "excerpt": "when you have a short-term spike on the data you ingest, more resources are allocated for that period of time. When the spike is over, the system uses less resources, without any action on your end.",
    "fetchedAt": "2026-09-06T22:04:41.005Z"
  },
  {
    "id": "elastic-docs-34",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co",
    "excerpt": "Cross-project search: Query isolated projects in-place. Unify global visibility without paying to move or duplicate your data.",
    "fetchedAt": "2026-09-06T22:04:41.005Z"
  },
  {
    "id": "elastic-docs-35",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co",
    "excerpt": "Get relevant results at unprecedented speed with open and flexible enterprise solutions.",
    "fetchedAt": "2026-09-06T22:04:41.005Z"
  },
  {
    "id": "elastic-docs-36",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/solutions/search",
    "excerpt": "When you index content into a semantic_text field, Elasticsearch automatically generates vector embeddings using a configured machine learning model and stores them in the underlying vector field.",
    "fetchedAt": "2026-09-16T20:34:00.395Z"
  },
  {
    "id": "elastic-docs-37",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co/docs/deploy-manage/deploy/elastic-cloud/serverless",
    "excerpt": "you create serverless projects that are fully managed and automatically scaled by Elastic.",
    "fetchedAt": "2026-09-16T20:34:00.395Z"
  },
  {
    "id": "elastic-docs-38",
    "tier": "claimed-docs",
    "url": "https://www.elastic.co",
    "excerpt": "CPS is GA: one unified view across your Serverless projects while data stays in place.",
    "fetchedAt": "2026-09-16T20:34:00.395Z"
  },
  {
    "id": "elastic-comm-1",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=25865094",
    "excerpt": "The AWS version of ES has been abysmal- it's only saving grace is that it's \"in the ecosystem\"- I was convinced by an AWS zealot on my team. Never again.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-2",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=25865094",
    "excerpt": "Elastic.co has a lot of proprietary add-ons in their cloud and subscription tiers... Unfortunately for them a lot of users don't need any of that, and are just fine with the formerly-OSS core.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-3",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=41394797",
    "excerpt": "I'll never forgive Elastic for locking basic security features behind their paid licence. Over the years probably millions of people had their data compromised due to that (due to people inadvertently leaving instances on the public internet - having auth enabled by default would have helped a lot)",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-4",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=41394797",
    "excerpt": "Too late. We just deployed a new project with OpenSearch after learning from an Elastic salesperson that their licensing fees would eat up significant portions of the projects profits.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-5",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=41394797",
    "excerpt": "Elastic.co is probably one of the worst websites that somehow gained popularity despite its crappy pricing model and support. Their documentation assumes you already know everything about their weirdly vague services.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-6",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/22396918",
    "excerpt": "The default refresh rate for ES is a minute or so... This means when you index a document, it won't be returned when you search for it until a minute later when the index refreshes. But you can certainly change the configuration so it's practically real-time. There will be some performance hit though.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-7",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/22396918",
    "excerpt": "Elastic is great as a search index, not as a primary database. [referencing Aphyr's Jepsen analysis showing Elasticsearch can lose indexed documents during network partitions]",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-8",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/22396918",
    "excerpt": "I found Elastic Cloud on K8s to be the best way to deploy and manage Elastic clusters on Kubernetes so far.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-9",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/22396918",
    "excerpt": "We were hit by this on Kibana 6.x as I didn't read the x-pack trial properly. I thought at least login would be there. My bad. We added Nginx auth after that. But x-pack security is actually free from some point release in version 7.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-10",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/25865094",
    "excerpt": "Elastic’s SaaS offering is incredibly expensive vs AWS Elasticsearch",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-11",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/25865094",
    "excerpt": "Having used AWS Elasticsearch, it has a lot of deep problems with it in its current state so Elastic can compete on value just fine.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-12",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/41394797",
    "excerpt": "No one wants Elastic Search over Open Search. We're spending all our money on Open Search. Whenever I mention Elastic Search I may as well have just farted. Everyone hates the support and enterprise licensing model.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-comm-13",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/41394797",
    "excerpt": "For one, we don't have to pay for basic amenities like security and alerts. To heck with gouging the customer for basic feature sets. AWS have their faults, but enabling teams to get the whole elastic experience without the weird nickle and diming is a blessing.",
    "fetchedAt": "2026-09-06T22:06:14.879Z"
  },
  {
    "id": "elastic-probe-1",
    "tier": "probe",
    "url": "https://www.elastic.co/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 404 at https://www.elastic.co/llms.txt",
    "fetchedAt": "2026-09-16T20:34:01.972Z"
  },
  {
    "id": "elastic-probe-2",
    "tier": "probe",
    "url": "https://www.elastic.co/docs.md",
    "excerpt": "PROBE docs-md: HTTP 404 at https://www.elastic.co/docs.md",
    "fetchedAt": "2026-09-16T20:34:01.972Z"
  },
  {
    "id": "elastic-probe-3",
    "tier": "probe",
    "url": "https://www.elastic.co/openapi.json",
    "excerpt": "PROBE openapi: all candidate paths 404 (https://www.elastic.co/openapi.json, https://www.elastic.co/swagger.json, https://www.elastic.co/api/openapi.json, https://www.elastic.co/.well-known/openapi.json)",
    "fetchedAt": "2026-09-16T20:34:01.972Z"
  },
  {
    "id": "elastic-probe-4",
    "tier": "probe",
    "url": "https://github.com/elastic/mcp-server-elasticsearch",
    "excerpt": "official MCP server documented at https://github.com/elastic/mcp-server-elasticsearch",
    "fetchedAt": "2026-09-16T20:34:01.972Z"
  }
]