[{"data":1,"prerenderedAt":233},["ShallowReactive",2],{"categories-init":3,"tool-details-qdrant":4,"tool-rel-qdrant":14,"tool-qdrant":117,"tool-pricing-qdrant":218,"tool-res-qdrant":231,"tool-stacks-qdrant":232},true,{"tool_id":5,"db_model":6,"query_language":7,"hosting_model":8,"acid_compliant":9,"replication_support":3,"updated_at":10,"created_at":11,"github_stars":12,"github_stars_checked_at":13},216,"vector","custom","both",false,"2026-09-23T12:16:03.758787","2026-08-17T11:21:26.723447",34759,"2026-09-23",[15,50,76,100],{"relationship_type":16,"relationship_display_name":17,"relationship_description":18,"relationship_display_order":19,"tool":20,"strength":32,"notes":49},"works_with","Works well with","Tools commonly used together in the same stack.",1,{"tool_id":21,"name":22,"slug":23,"tooltip_description":24,"logo_url":25,"logo_bg":26,"pricing_model":27,"learning_curve_score":31,"popularity_score":32,"hosting_assignment_type":33,"hosting_provider_restriction":34,"hosting_target_restriction":34,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":36,"subcategory":40,"categories":44,"subcategories":45,"flexibility_score":46,"performance_score":32,"portability_score":46,"is_featured":9,"tags":47,"score_reasonings":48,"published_date":35,"last_updated_date":35},214,"LangChain","langchain","The dominant open-source framework for building LLM-powered agents and applications — 100M+ monthly downloads, with LangGraph for stateful multi-agent orchestration and LangSmith for observability, tracing, and evaluation.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Flangchain.svg","dark",{"slug":28,"display_name":29,"description":30},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.",3,4,"library","open",null,{"category_id":37,"name":38,"slug":39},20,"Agentic AI","agentic-ai",{"subcategory_id":41,"name":42,"slug":43},62,"Agent Frameworks","agent-frameworks",[],[],5,[],{},"Qdrant is commonly paired with LangChain via its first-party integration, used as the retrieval backend for RAG applications, especially where self-hosting is a requirement.",{"relationship_type":16,"relationship_display_name":17,"relationship_description":18,"relationship_display_order":19,"tool":51,"strength":31,"notes":75},{"tool_id":52,"name":53,"slug":54,"tooltip_description":55,"logo_url":56,"logo_bg":57,"pricing_model":58,"learning_curve_score":32,"popularity_score":32,"hosting_assignment_type":62,"hosting_provider_restriction":34,"hosting_target_restriction":34,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":63,"subcategory":67,"categories":71,"subcategories":72,"flexibility_score":46,"performance_score":31,"portability_score":46,"is_featured":9,"tags":73,"score_reasonings":74,"published_date":35,"last_updated_date":35},222,"AnythingLLM","anythingllm","Self-hosted chat UI built around RAG from the ground up: MIT licensed, with per-workspace document sets and vector DB settings, plus a desktop app that skips Docker entirely.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fanythingllm.svg","white",{"slug":59,"display_name":60,"description":61},"open_source","Open Source","Source code is publicly available and free to use, modify, and distribute. No paid plans from the project itself.","deployable",{"category_id":64,"name":65,"slug":66},11,"APIs & Infrastructure","apis-infrastructure",{"subcategory_id":68,"name":69,"slug":70},64,"AI Chat Interfaces","ai-chat-interfaces",[],[],[],{},"AnythingLLM documents Qdrant as a supported vector database backend for its per-workspace RAG configuration.",{"relationship_type":77,"relationship_display_name":78,"relationship_description":79,"relationship_display_order":80,"tool":81,"strength":31,"notes":99},"alternative_to","Alternative to","These tools serve a similar purpose — typically you would pick one, not both.",6,{"tool_id":82,"name":83,"slug":84,"tooltip_description":85,"logo_url":86,"logo_bg":26,"pricing_model":87,"learning_curve_score":46,"popularity_score":32,"hosting_assignment_type":88,"hosting_provider_restriction":34,"hosting_target_restriction":34,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":89,"subcategory":92,"categories":95,"subcategories":96,"flexibility_score":32,"performance_score":31,"portability_score":46,"is_featured":9,"tags":97,"score_reasonings":98,"published_date":35,"last_updated_date":35},217,"Chroma","chroma","Open-source, Apache 2.0 embedding database with a deliberately minimal 4-function API, the go-to choice for prototyping RAG apps before optionally scaling to Chroma Cloud's serverless offering.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fchroma.png",{"slug":28,"display_name":29,"description":30},"self_hostable",{"category_id":32,"name":90,"slug":91},"Databases","databases",{"subcategory_id":32,"name":93,"slug":94},"Vector Databases","vector-databases",[],[],[],{},"Both are open-source, self-hostable vector databases. Qdrant exposes more composable, low-level control over indexing and scoring for production tuning, while Chroma prioritizes the fastest path to a working prototype with a minimal API.",{"relationship_type":77,"relationship_display_name":78,"relationship_description":79,"relationship_display_order":80,"tool":101,"strength":31,"notes":116},{"tool_id":102,"name":103,"slug":104,"tooltip_description":105,"logo_url":106,"logo_bg":26,"pricing_model":107,"learning_curve_score":108,"popularity_score":32,"hosting_assignment_type":109,"hosting_provider_restriction":34,"hosting_target_restriction":34,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":110,"subcategory":111,"categories":112,"subcategories":113,"flexibility_score":31,"performance_score":32,"portability_score":108,"is_featured":9,"tags":114,"score_reasonings":115,"published_date":35,"last_updated_date":35},215,"Pinecone","pinecone","A fully managed, serverless vector database that stores billions of vectors with no servers to provision, plus hosted embedding and reranking (Pinecone Inference) and a RAG toolkit (Pinecone Assistant).","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fpinecone.png",{"slug":28,"display_name":29,"description":30},2,"managed_only",{"category_id":32,"name":90,"slug":91},{"subcategory_id":32,"name":93,"slug":94},[],[],[],{},"Both are vector databases used for RAG and semantic search. Qdrant offers a genuine self-hosted, open-source (Apache 2.0) option alongside its managed cloud, while Pinecone is closed-source, fully managed SaaS only — a common deciding factor between the two.",{"tool_id":5,"name":118,"slug":119,"tooltip_description":120,"logo_url":121,"logo_bg":26,"pricing_model":122,"learning_curve_score":31,"popularity_score":32,"hosting_assignment_type":88,"hosting_provider_restriction":34,"hosting_target_restriction":34,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":123,"subcategory":124,"categories":125,"subcategories":128,"flexibility_score":46,"performance_score":32,"portability_score":46,"is_featured":9,"tags":130,"score_reasonings":150,"published_date":156,"last_updated_date":35,"vendor":157,"website_url":159,"documentation_url":160,"github_url":161,"long_description":162,"tagline":163,"key_features":164,"pros":172,"cons":177,"social_links":182,"screenshots_urls":183,"pricing_tiers":184,"license_type":35,"community_size":35,"active_maintenance":3,"parent_tool":35},"Qdrant","qdrant","An open-source vector database written in Rust, free to self-host under Apache 2.0, with a managed Qdrant Cloud that includes a free-forever cluster and hybrid and private deployment options.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fqdrant.svg",{"slug":28,"display_name":29,"description":30},{"category_id":32,"name":90,"slug":91},{"subcategory_id":32,"name":93,"slug":94},[126],{"category_id":32,"name":90,"slug":91,"is_primary":3,"display_order":127},0,[129],{"subcategory_id":32,"name":93,"slug":94,"category_id":32,"is_primary":3,"display_order":127},[131,136,140,145],{"tag_id":132,"name":133,"slug":134,"tag_type":135},12,"Self-hostable","self-hostable","feature",{"tag_id":137,"name":138,"slug":139,"tag_type":135},13,"Free Tier","free-tier",{"tag_id":141,"name":142,"slug":143,"tag_type":144},25,"Machine Learning","machine-learning","use_case",{"tag_id":146,"name":147,"slug":148,"tag_type":149},40,"Web","web","platform",{"learning_curve":151,"flexibility":152,"performance":153,"popularity":154,"portability":155},"Getting a self-hosted instance running via Docker is quick, but making full use of composable retrieval primitives (custom scoring, hybrid dense\u002Fsparse queries) takes more hands-on tuning than a simpler managed alternative.","Composable indexing, scoring, and filtering primitives, deployment via self-hosted Docker\u002FKubernetes or managed cloud, and Hybrid\u002FPrivate Cloud options give it very broad configurability.","Rust-based core and production deployment at scale by companies like Tripadvisor and Canva demonstrate real production-grade throughput, with self-hosting becoming notably cost-efficient at high query volumes.","34K+ GitHub stars and 250M+ downloads, with real, named production adopters, though still behind Pinecone's overall market recognition as the most-referenced managed option.","Apache 2.0 licensed and genuinely self-hostable via Docker or Kubernetes, plus Hybrid\u002FPrivate Cloud for keeping data on customer infrastructure, meaningfully more portable than a closed-source, cloud-only competitor.","2026-09-27",{"vendor_id":158,"name":118,"slug":119,"website_url":159,"logo_url":121,"logo_bg":26},173,"https:\u002F\u002Fqdrant.tech","https:\u002F\u002Fqdrant.tech\u002Fdocumentation","https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant","Qdrant is an **open-source vector search engine and database** written in Rust and licensed under Apache 2.0. It stores vectors alongside structured payload data and filters on that payload during search. The core engine ships as a single self-contained binary with REST and gRPC APIs, deployable with Docker, on Kubernetes through the official Helm chart and Operator, or on Qdrant's own managed cloud, so teams choose where the database runs.\n\nEvery part of retrieval, from indexing and scoring to filtering and ranking, is exposed as a **composable primitive** rather than a black box. A single query can mix dense vectors, sparse vectors, metadata filters, and custom scoring logic, which suits hybrid search and recommendation workloads that need fine-grained tuning. Companies such as Tripadvisor, HubSpot, and Canva run it in production.\n\nSelf-hosting is free with no licence fee. **Qdrant Cloud** adds a free-forever single-node cluster for testing, a usage-based Standard tier billed hourly on the resources a cluster uses, and a Premium tier with SSO, private VPC links, and a higher uptime SLA above a minimum spend. Hybrid Cloud lets Qdrant Cloud manage clusters running inside a customer's own Kubernetes, and Private Cloud covers fully isolated and air-gapped deployments for regulated workloads. Cloud Inference provides hosted embedding models on the managed service.","Vector search engine for the next generation of AI applications.",[165,166,167,168,169,170,171],"Open source under Apache 2.0, written in Rust","Single binary with REST and gRPC APIs, deployable with Docker or Kubernetes","Payload filtering applied during vector search","Dense and sparse vectors, filters, and custom scoring in one query","Free-forever managed cloud cluster for testing","Hybrid Cloud and Private Cloud for data-residency and air-gapped workloads","Cloud Inference with hosted embedding models",[173,174,175,176],"Free self-hosting under Apache 2.0 alongside a managed cloud, a choice Pinecone does not offer","Composable retrieval primitives give fine control over indexing, scoring, and filtering","Rust engine with a small operational footprint as a single binary","Free-forever cloud tier makes prototyping cost nothing",[178,179,180,181],"Self-hosting means running Docker or Kubernetes infrastructure yourself","Premium features (SSO, private VPC, higher SLA) need a minimum spend and a sales conversation","More tuning knobs than a simpler, more opinionated managed vector database","Usage-based Standard billing is priced per cluster resource, so costs depend on sizing choices",{},[],[185,191,196,203,208,213],{"tier_name":186,"price":127,"billing_period":187,"features":188},"Self-Hosted (Open Source)","monthly",[189,190],"Free, Apache 2.0 licensed, deploy via Docker or Kubernetes","No license fee, full control over infrastructure",{"tier_name":192,"price":127,"billing_period":187,"features":193},"Cloud Free",[194,195],"Free-forever single node cluster (0.5 vCPU, 1GB RAM, 4GB disk)","Free cloud inference with selected models",{"tier_name":197,"price":35,"billing_period":198,"features":199},"Cloud Standard","hourly",[200,201,202],"Usage-based, billed hourly on vCPU, memory, and storage","Dedicated resources, backup and disaster recovery","99.5% uptime SLA, up to 99.95% with multi-AZ clusters",{"tier_name":204,"price":35,"billing_period":187,"features":205},"Cloud Premium",[206,207],"Minimum spend, SSO and private VPC links","99.9% uptime SLA, 24\u002F7 support, encryption with customer keys",{"tier_name":209,"price":35,"billing_period":187,"features":210},"Hybrid Cloud",[211,212],"Qdrant Cloud manages clusters running in your own Kubernetes","Data stays in your network; contact sales for pricing",{"tier_name":214,"price":35,"billing_period":187,"features":215},"Private Cloud",[216,217],"Fully isolated deployment, including air-gapped setups","Custom SLAs; contact sales for pricing",[219,221,223,225,227,229],{"tier_name":186,"price":127,"billing_period":187,"features":220},[189,190],{"tier_name":192,"price":127,"billing_period":187,"features":222},[194,195],{"tier_name":197,"price":35,"billing_period":198,"features":224},[200,201,202],{"tier_name":204,"price":35,"billing_period":187,"features":226},[206,207],{"tier_name":209,"price":35,"billing_period":187,"features":228},[211,212],{"tier_name":214,"price":35,"billing_period":187,"features":230},[216,217],[],[],1790518477990]