[
  {
    "id": "qdrant-docs-1",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/quickstart/",
    "excerpt": "docker run -p 6333:6333 -p 6334:6334 \\\n    -v \"$(pwd)/qdrant_storage:/qdrant/storage:z\" \\\n    qdrant/qdrant",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-2",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/concepts/hybrid-queries/",
    "excerpt": "Qdrant has a few ways of fusing the results from different queries: `rrf` and `dbsf`",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-3",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/concepts/filtering/",
    "excerpt": "Qdrant allows you to combine conditions in clauses. Clauses are different logical operations, such as `OR`, `AND`, and `NOT`.",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-4",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/guides/multiple-partitions/",
    "excerpt": "keep all tenants in a single collection and use one of these three approaches to isolate them",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-5",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/scaling/distributed_deployment/",
    "excerpt": "Qdrant supports a distributed deployment mode. In this mode, multiple Qdrant services communicate with each other to distribute the data across the peers",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-6",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/snapshots/",
    "excerpt": "Snapshots are `tar` archive files that contain data and configuration of a specific collection on a specific node at a specific time.",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-7",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/security/",
    "excerpt": "Qdrant supports three types of API key: **Admin API Key**... **Read-Only API Key**... **Granular Access API Keys**",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-8",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/",
    "excerpt": "No token limits ... No payment method required",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-9",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/",
    "excerpt": "Configure dense, sparse, and multi-vector embeddings. Use cloud-hosted embedding models directly with Qdrant.",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-10",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/",
    "excerpt": "Qdrant Edge is a lightweight, embedded vector search engine for in-process retrieval — no background services, minimal memory footprint, and no network required.",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-gh-1",
    "tier": "github",
    "url": "https://github.com/qdrant/qdrant",
    "excerpt": "Qdrant offers the following client libraries to help you integrate it into your application stack",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-gh-2",
    "tier": "github",
    "url": "https://github.com/qdrant/qdrant",
    "excerpt": "Install these skills to empower your agent in making critical engineering decisions for optimal vector search performance, such as quantization, sharding, tenant isolation, hybrid search, model migration, and more.",
    "fetchedAt": "2026-09-04T22:08:24.559Z"
  },
  {
    "id": "qdrant-docs-11",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/quickstart/",
    "excerpt": "client.create_collection(\n    collection_name=\"test_collection\",\n    vectors_config=VectorParams(size=4, distance=Distance.DOT),\n)",
    "fetchedAt": "2026-09-04T22:10:08.037Z"
  },
  {
    "id": "qdrant-docs-12",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/guides/multiple-partitions/",
    "excerpt": "Partition by payload filters points by a payload field that identifies the tenant. This is efficient for a large number of small, similarly-sized tenants.",
    "fetchedAt": "2026-09-04T22:10:08.037Z"
  },
  {
    "id": "qdrant-docs-13",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/security/",
    "excerpt": "Qdrant supports API key authentication ... network binding, TLS for encrypted connections, and audit logging for compliance.",
    "fetchedAt": "2026-09-04T22:10:08.037Z"
  },
  {
    "id": "qdrant-docs-14",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/",
    "excerpt": "Qdrant Edge is a lightweight, embedded vector search engine for in-process retrieval — no background services, minimal memory footprint, and no network required. Built for robots, kiosks, mobile devices",
    "fetchedAt": "2026-09-04T22:10:08.037Z"
  },
  {
    "id": "qdrant-gh-3",
    "tier": "github",
    "url": "https://github.com/qdrant/qdrant",
    "excerpt": "Go client ... Rust client ... JavaScript/TypeScript client ... Python client ... .NET/C# client ... Java client",
    "fetchedAt": "2026-09-04T22:10:08.037Z"
  },
  {
    "id": "qdrant-gh-4",
    "tier": "github",
    "url": "https://github.com/qdrant/qdrant",
    "excerpt": "Qdrant provides a collection of ready-to-use agent skills that bring Qdrant's vector search capabilities directly into your AI coding assistant.",
    "fetchedAt": "2026-09-04T22:10:08.037Z"
  },
  {
    "id": "qdrant-docs-15",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/deploy-intro/",
    "excerpt": "Qdrant Private Cloud allows you to manage Qdrant database clusters in any Kubernetes cluster on any infrastructure.",
    "fetchedAt": "2026-09-04T22:10:08.037Z"
  },
  {
    "id": "qdrant-docs-16",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/quickstart/",
    "excerpt": "docker run -p 6333:6333 -p 6334:6334 -v \"$(pwd)/qdrant_storage:/qdrant/storage:z\" qdrant/qdrant",
    "fetchedAt": "2026-09-04T22:11:47.160Z"
  },
  {
    "id": "qdrant-docs-17",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/concepts/hybrid-queries/",
    "excerpt": "in text search, it is often useful to combine dense and sparse vectors to get the best of both worlds: semantic understanding from dense vectors and precise word matching from sparse vectors",
    "fetchedAt": "2026-09-04T22:11:47.160Z"
  },
  {
    "id": "qdrant-docs-18",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/concepts/filtering/",
    "excerpt": "Qdrant allows you to combine conditions in clauses. Clauses are different logical operations, such as OR, AND, and NOT.",
    "fetchedAt": "2026-09-04T22:11:47.160Z"
  },
  {
    "id": "qdrant-docs-19",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/guides/multiple-partitions/",
    "excerpt": "keep all tenants in a single collection and use one of these three approaches to isolate them: Partition by payload",
    "fetchedAt": "2026-09-04T22:11:47.160Z"
  },
  {
    "id": "qdrant-docs-20",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/scaling/distributed_deployment/",
    "excerpt": "Qdrant supports a distributed deployment mode. In this mode, multiple Qdrant services communicate with each other to distribute the data across the peers to extend the storage capabilities and increase stability.",
    "fetchedAt": "2026-09-04T22:11:47.160Z"
  },
  {
    "id": "qdrant-docs-21",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/snapshots/",
    "excerpt": "Snapshots are tar archive files that contain data and configuration of a specific collection on a specific node at a specific time.",
    "fetchedAt": "2026-09-04T22:11:47.160Z"
  },
  {
    "id": "qdrant-docs-22",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/security/",
    "excerpt": "Qdrant supports API key authentication (including read-only API keys for query-only consumers and granular access API keys with per-collection read/write scoping), network binding, TLS for encrypted connections, and audit logging for compliance.",
    "fetchedAt": "2026-09-04T22:11:47.160Z"
  },
  {
    "id": "qdrant-gh-5",
    "tier": "github",
    "url": "https://github.com/qdrant/qdrant",
    "excerpt": "It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload.",
    "fetchedAt": "2026-09-04T22:11:47.160Z"
  },
  {
    "id": "qdrant-docs-23",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/deploy-intro/",
    "excerpt": "Deploy Qdrant on any infrastructure. Get requirements, configuration options, and GPU setup guides.",
    "fetchedAt": "2026-09-04T22:13:16.611Z"
  },
  {
    "id": "qdrant-docs-24",
    "tier": "claimed-docs",
    "url": "https://qdrant.tech/documentation/",
    "excerpt": "No limits ![No token limits",
    "fetchedAt": "2026-09-04T22:13:16.611Z"
  },
  {
    "id": "qdrant-comm-1",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=39101682",
    "excerpt": "We've been using Qdrant for over a year with 10s of millions of items, lots of daily inserts/deletions. A couple of gotchas but generally predictable and scalable; team focuses on the right features.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-comm-2",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=39101682",
    "excerpt": "It's very rough around the edges to be honest. Lots of things broken, breaking between releases suddenly in unexpected places. Support from the team is great however.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-comm-3",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=39101682",
    "excerpt": "I've been using Qdrant. Can't speak highly enough of the core functionality. It's fast, good accuracy, easy to use. Wish finding/updating points were easier, and the UI could be better.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-comm-4",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=39101682",
    "excerpt": "One of the big advantages of Qdrant is how easy it is to do a POC because it allows an 'in-memory' version similar to sqlite. Milvus by comparison needs a fairly intricate docker-compose setup.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-comm-5",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=38611033",
    "excerpt": "We've been using qdrant in production for over a year. It's excellent and the team are very responsive to the few issues we've had. Qdrant does one job and scales well.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-comm-6",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=38611033",
    "excerpt": "Weaviate and Qdrant have similar offerings in features, open-sourceness, flexible deployment. Qdrant gets a lot of support from the Rust community and has a slightly more flexible free cloud tier.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-comm-7",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=38611033",
    "excerpt": "I like their pricing page and business model: Apache-2.0 license, free tier with a free forever 1GB cluster for trying out, no credit card required.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-comm-8",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=38611033",
    "excerpt": "Just played with qdrant using its Python client. Pretty smooth onboarding experience, though having to generate embeddings client-side rather than in the DB felt somewhat besides the point.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-comm-9",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=35844724",
    "excerpt": "After testing numerous open source vector databases, Qdrant is the best option: docs are clear, easy to build from source in Rust (~30 min), small portable binaries, clean and uncluttered compared to alternatives, devs are technically capable.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-comm-10",
    "tier": "community",
    "url": "https://news.ycombinator.com/item?id=39101682",
    "excerpt": "For a comparison of existing assistants API vs vector search: control over embeddings, better performance (avoiding wait for Assistant to decide on RAG), and lower cost than OpenAI's Assistants API which incentivizes loading the context window.",
    "fetchedAt": "2026-09-04T22:14:35.499Z"
  },
  {
    "id": "qdrant-probe-1",
    "tier": "probe",
    "url": "https://qdrant.tech/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 200 at https://qdrant.tech/llms.txt # https://qdrant.tech/\n## Overall Summary\n> Qdrant is an Open-Source Vector Search Engine written in Rust. It provides f",
    "fetchedAt": "2026-09-04T22:15:10.585Z"
  },
  {
    "id": "qdrant-probe-2",
    "tier": "probe",
    "url": "https://qdrant.tech/documentation/.md",
    "excerpt": "PROBE docs-md: HTTP 404 at https://qdrant.tech/documentation/.md",
    "fetchedAt": "2026-09-04T22:15:10.585Z"
  },
  {
    "id": "qdrant-probe-3",
    "tier": "probe",
    "url": "https://qdrant.tech/openapi.json",
    "excerpt": "PROBE openapi: all candidate paths 404 (https://qdrant.tech/openapi.json, https://qdrant.tech/swagger.json, https://qdrant.tech/api/openapi.json, https://qdrant.tech/.well-known/openapi.json)",
    "fetchedAt": "2026-09-04T22:15:10.585Z"
  },
  {
    "id": "qdrant-probe-4",
    "tier": "probe",
    "url": "https://qdrant.tech/documentation/qdrant-mcp-server/",
    "excerpt": "official MCP server documented at https://qdrant.tech/documentation/qdrant-mcp-server/",
    "fetchedAt": "2026-09-04T22:15:10.585Z"
  }
]