Qdrant growth playbook

Use /lp/lucene as the template: one "Switch from X" page per source system with the honest reasons teams move, a customer result (Sprinklr for Elastic), a short code sample from the migration guide, the free side-by-side benchmark offer, and a "migrating from" field on the form that routes to Solutions Engineers. Add a "Migrate to Qdrant" item to the Solutions menu and link each docs guide to its page. Start with pgvector, Pinecone and Elasticsearch.

Migration is where vector database deals are won, and Qdrant already has the tooling and the docs; the pages turn that engineering work into pipeline. It also gives the warming engine its highest-intent segment: people reading a migration guide.

[ ] H1: Moving from <system> to Qdrant
[ ] Three honest reasons teams switch
[ ] One customer result with numbers
[ ] Code: before and after
[ ] Migration Tool steps from the docs guide
[ ] Free side-by-side benchmark offer
[ ] Form with "migrating from" field
[ ] Link from the docs guide and the Solutions menu
[ ] Date and review owner

• Claims about rivals go stale

  Date every page and avoid feature claims that are not sourced.

• Thin pages for small sources

  Group the smaller systems on one page.

• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source
• Your websiteSitemap (October 22, 2026): 16 "migrate-to-qdrant/from-..." guides in the documentation (Pinecone, Weaviate, Milvus, Elasticsearch, OpenSearch, Solr, pgvector, Chroma, Redis, MongoDB, turbopuffer, S3 Vectors, DynamoDB, Azure AI Search, FAISS and Qdrant itself) built on the Qdrant Migration Tool. The only marketing page for switching is /lp/lucene ("Are your semantic search needs outgrowing Elastic and OpenSearch?"), which is not in the main navigation or linked from the homepage; the only comparison page is the blog post "Qdrant vs Pinecone", published February 2024.Source
• Your website/lp/lucene: Sprinklr "achieved 90% faster write time, 80% faster latency, 2.5x higher RPS than with Elastic"; the Migration Tool streams vector data "live, fast, and with zero downtime"; an offer to "run a side-by-side benchmark on your own index" with Solution Architects, "No strings attached, no commitment."Source
• HiringSolutions Engineer (US, posted September 22, 2026): runs POCs and architectural reviews and will "design migration paths from legacy search engines like Elastic, Solr, and OpenSearch to Qdrant", translating requirements (multi-AZ, sharding, replication) into pricing models.Source
• Competitor researchRivals' own homepages: Pinecone, "the trusted AI knowledge company" for "10,000+ customers and 1M developers"; Weaviate, "The AI database developers love"; Zilliz, a "Vector Lakebase ... Powered by Milvus" across AWS, Google Cloud and Azure; turbopuffer, "vector and full-text search built on object storage: fast, 10x cheaper".See the research Source

Rewrite the description and the llms.txt summary around what buyers compare: production retrieval for RAG and agents, hybrid search with BM25, deployment options (cloud, hybrid, private, edge), compliance (SOC 2, HIPAA) and proof (35k+ stars, named customers). Add short sections to llms.txt for pricing, migration and customers.

A clear summary is what AI assistants repeat; it costs an hour and shapes every answer about Qdrant.

• Assistants lag behind changes

  Track monthly and keep the wording stable.

• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source
• Your websiteHomepage: H1 "High-Performance Vector Search at Scale"; "35k+ GitHub Stars", "60k+ Community Members", "SOC2 & HIPAA compliant"; a banner for "Qdrant 1.20: BM25 hybrid search without sparse vectors". Its meta description, which search results and AI tools read first, is still "Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.", and /llms.txt opens with the same sentence. The navigation lists Serverless as "Coming soon".Source
• Your websiteContent (sitemap, 789 URLs): 347 documentation pages, 199 blog posts, 136 course pages, 47 technical articles and 7 benchmark pages; a certification program; a 185 KB /llms.txt linking Markdown versions of the docs; event pages for Vector Space Day SF 26. About 40 homepage images have no alt text.Source

Write a description for the customers page and each case study with the customer and result, add alt text to logos and images, and add the result numbers in plain text near each logo.

Proof that is readable gets quoted in search results and AI answers.

• Inconsistent wording

  Use one template for every story.

• Your websiteCustomers page (meta description just "Customers"): featured stories include a multi-agent platform "powering 2M+ conversations across 10 countries", HubSpot's "Breeze AI", and Tripadvisor searching "1B+ multimodal reviews" for its AI Trip Planner with "2–3x more revenue from engaged users"; filters include Financial services, GovTech, Customer support and Developer tools. The Industries menu lists only E-commerce, Legal Tech, Hospitality & Travel, HR Tech and Healthcare Tech.Source
• Your websiteContent (sitemap, 789 URLs): 347 documentation pages, 199 blog posts, 136 course pages, 47 technical articles and 7 benchmark pages; a certification program; a 185 KB /llms.txt linking Markdown versions of the docs; event pages for Vector Space Day SF 26. About 40 homepage images have no alt text.Source
• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source

Trigger emails from product events: no collection after 2 days (a 5-minute quickstart), first query (hybrid search with BM25 from 1.20), approaching memory limits (quantization guide and the pricing calculator), sustained traffic (a Standard tier offer with a Solutions Engineer). Hand only the last group to sales.

Timely help moves free users to production and keeps high-intent accounts out of cold outreach, as the role intends.

• Too many emails

  Cap at one a week.

• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source
• Your websitePricing: Free Tier "Free forever" (0.5 vCPU, 1GB RAM, 4 GB disk); Standard, usage-based with a 99.5% SLA and marketplace subscriptions on AWS, Azure and GCP; Premium with a minimum spend, SSO, private VPC links and a 99.9% SLA; Hybrid Cloud and Private Cloud; a pricing calculator.Source
• Your websiteHomepage: H1 "High-Performance Vector Search at Scale"; "35k+ GitHub Stars", "60k+ Community Members", "SOC2 & HIPAA compliant"; a banner for "Qdrant 1.20: BM25 hybrid search without sparse vectors". Its meta description, which search results and AI tools read first, is still "Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.", and /llms.txt opens with the same sentence. The navigation lists Serverless as "Coming soon".Source

Score visits to migration guides, the pricing calculator, Hybrid and Private Cloud pages and the security page by account. Send warm accounts a migration-specific nurture and an invitation to the free benchmark; pass accounts above a threshold to BDRs with the pages they read.

Outreach that references the system a team is leaving converts far better than a generic sequence.

• Developers dislike being tracked

  Use account-level signals and helpful content.

• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source
• HiringRegional go-to-market: a Business Development Representative (EMEA, Germany) who will "Qualify and progress inbound leads generated by marketing, content, and community channels" and build outbound workflows "using tools like Claude and Common Room"; a Senior Technical Success Manager in Australia or Japan (posted October 22, 2026) "building how we work in a new region" with support "in APAC hours"; and a Senior Support Engineer for EMEA.Source
• Your websiteSitemap (October 22, 2026): 16 "migrate-to-qdrant/from-..." guides in the documentation (Pinecone, Weaviate, Milvus, Elasticsearch, OpenSearch, Solr, pgvector, Chroma, Redis, MongoDB, turbopuffer, S3 Vectors, DynamoDB, Azure AI Search, FAISS and Qdrant itself) built on the Qdrant Migration Tool. The only marketing page for switching is /lp/lucene ("Are your semantic search needs outgrowing Elastic and OpenSearch?"), which is not in the main navigation or linked from the homepage; the only comparison page is the blog post "Qdrant vs Pinecone", published February 2024.Source
• Your websitePricing: Free Tier "Free forever" (0.5 vCPU, 1GB RAM, 4 GB disk); Standard, usage-based with a 99.5% SLA and marketplace subscriptions on AWS, Azure and GCP; Premium with a minimum spend, SSO, private VPC links and a 99.9% SLA; Hybrid Cloud and Private Cloud; a pricing calculator.Source

Defer non-essential tags, load HubSpot forms on interaction, self-host the web fonts, and set a page-weight budget that every new campaign tag must fit within.

A budget now keeps the site fast as marketing adds tools.

• Lost tracking

  Test conversions after each change.

• Google PageSpeedHomepage on mobile: performance 54/100; lab LCP 6.5s; 4.9 MB in 179 requests, 3.0 MB from 13 third parties, including Google Tag Manager at 715 KB and HubSpot at 318 KB; render-blocking requests cost about 1.9s. Real visitors pass Core Web Vitals (field LCP 2.2s, INP 112ms, CLS 0.02), although field LCP has slowed about 11% recently.Source
• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source

Publish one dated comparison per rival: deployment options, hybrid search, filtering, scaling, pricing model and migration path, with links to the matching migration guide and benchmark. Refresh each quarter.

Comparison searches are the highest-intent searches in the category, and fair, current pages win citations.

• Accusations of bias

  Cite sources and show where rivals are stronger.

• Your websiteSitemap (October 22, 2026): 16 "migrate-to-qdrant/from-..." guides in the documentation (Pinecone, Weaviate, Milvus, Elasticsearch, OpenSearch, Solr, pgvector, Chroma, Redis, MongoDB, turbopuffer, S3 Vectors, DynamoDB, Azure AI Search, FAISS and Qdrant itself) built on the Qdrant Migration Tool. The only marketing page for switching is /lp/lucene ("Are your semantic search needs outgrowing Elastic and OpenSearch?"), which is not in the main navigation or linked from the homepage; the only comparison page is the blog post "Qdrant vs Pinecone", published February 2024.Source
• Competitor researchRivals' own homepages: Pinecone, "the trusted AI knowledge company" for "10,000+ customers and 1M developers"; Weaviate, "The AI database developers love"; Zilliz, a "Vector Lakebase ... Powered by Milvus" across AWS, Google Cloud and Azure; turbopuffer, "vector and full-text search built on object storage: fast, 10x cheaper".See the research Source
• Your websiteBenchmarks page: "Updated: January/June 2024", noting "Most of the engines have improved since"; the sitemap also keeps a "single-node-speed-benchmark-2022" page.Source

Rerun the benchmark suite on current versions (including 1.20), add cost per query and hybrid search, publish the scripts so readers can rerun them, and set a twice-yearly schedule.

Fresh, reproducible numbers are what engineers trust and journalists cite.

• Rivals dispute settings

  Publish configs and invite corrections.

• Your websiteBenchmarks page: "Updated: January/June 2024", noting "Most of the engines have improved since"; the sitemap also keeps a "single-node-speed-benchmark-2022" page.Source
• Competitor researchRivals' own homepages: Pinecone, "the trusted AI knowledge company" for "10,000+ customers and 1M developers"; Weaviate, "The AI database developers love"; Zilliz, a "Vector Lakebase ... Powered by Milvus" across AWS, Google Cloud and Azure; turbopuffer, "vector and full-text search built on object storage: fast, 10x cheaper".See the research Source
• Open sourceGitHub qdrant/qdrant: about 35,200 stars, 74 repositories active in the last 90 days; Docker image qdrant/qdrant pulled about 52.5 million times; the JavaScript clients see about 1.1 million npm downloads a week.Source

Approve eligible applicants automatically within a day, offer credits instead of a percentage, add partner perks, and run a startup nurture with architecture office hours. Track startups that grow into Standard and Premium.

Startups that build on Qdrant early become the next HubSpot or Tripadvisor story.

• Credit abuse

  Keep the funding and website checks.

• Your websiteQdrant for Startups: "a 20% discount on Qdrant Cloud for the first year" for pre-seed to Series A startups under five years old with less than $5M in funding; applications "reviewed within 7-10 business days"; billing through Qdrant with card details required; perks from Hugging Face, LlamaIndex and Airbyte.Source
• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source
• Your websitePricing: Free Tier "Free forever" (0.5 vCPU, 1GB RAM, 4 GB disk); Standard, usage-based with a 99.5% SLA and marketplace subscriptions on AWS, Azure and GCP; Premium with a minimum spend, SSO, private VPC links and a 99.9% SLA; Hybrid Cloud and Private Cloud; a pricing calculator.Source

Package it: a request form, a standard two-week plan, a results report template and a decision meeting. Offer it on every switch-from page, in BDR outreach and at events.

Proof on the buyer's own data shortens enterprise deals and raises win rates.

• Too many small requests

  Qualify on data size and timeline.

• #1 Turn the 16 "migrate from" guides into "Switch from X" pages, and put switching in the navigation

• Your website/lp/lucene: Sprinklr "achieved 90% faster write time, 80% faster latency, 2.5x higher RPS than with Elastic"; the Migration Tool streams vector data "live, fast, and with zero downtime"; an offer to "run a side-by-side benchmark on your own index" with Solution Architects, "No strings attached, no commitment."Source
• HiringSolutions Engineer (US, posted September 22, 2026): runs POCs and architectural reviews and will "design migration paths from legacy search engines like Elastic, Solr, and OpenSearch to Qdrant", translating requirements (multi-AZ, sharding, replication) into pricing models.Source
• HiringRegional go-to-market: a Business Development Representative (EMEA, Germany) who will "Qualify and progress inbound leads generated by marketing, content, and community channels" and build outbound workflows "using tools like Claude and Common Room"; a Senior Technical Success Manager in Australia or Japan (posted October 22, 2026) "building how we work in a new region" with support "in APAC hours"; and a Senior Support Engineer for EMEA.Source

Add "buy through your cloud marketplace" to pricing and enterprise pages, create private offers for Premium, run one joint campaign per cloud, and register deals with cloud sellers.

Marketplace buying removes procurement delays and taps cloud sellers' reach.

• Margin loss to fees

  Use marketplace for larger deals.

• Your websitePricing: Free Tier "Free forever" (0.5 vCPU, 1GB RAM, 4 GB disk); Standard, usage-based with a 99.5% SLA and marketplace subscriptions on AWS, Azure and GCP; Premium with a minimum spend, SSO, private VPC links and a 99.9% SLA; Hybrid Cloud and Private Cloud; a pricing calculator.Source
• HiringRegional go-to-market: a Business Development Representative (EMEA, Germany) who will "Qualify and progress inbound leads generated by marketing, content, and community channels" and build outbound workflows "using tools like Claude and Common Room"; a Senior Technical Success Manager in Australia or Japan (posted October 22, 2026) "building how we work in a new region" with support "in APAC hours"; and a Senior Support Engineer for EMEA.Source

Track course progress (with consent) to tailor nurture, issue shareable certification badges, and keep a public directory of certified engineers that companies can search when hiring.

Certification builds champions inside target accounts and gives developers a reason to finish the course.

• Low completion

  Shorter modules.

• Your websiteContent (sitemap, 789 URLs): 347 documentation pages, 199 blog posts, 136 course pages, 47 technical articles and 7 benchmark pages; a certification program; a 185 KB /llms.txt linking Markdown versions of the docs; event pages for Vector Space Day SF 26. About 40 homepage images have no alt text.Source
• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source
• Open sourceGitHub qdrant/qdrant: about 35,200 stars, 74 repositories active in the last 90 days; Docker image qdrant/qdrant pulled about 52.5 million times; the JavaScript clients see about 1.1 million npm downloads a week.Source

Build three industry pages from existing stories: use cases, compliance (SOC 2, HIPAA, Hybrid and Private Cloud for data residency), customer results and a benchmark offer.

Industry buyers look for peers first, and the stories already exist.

• Thin proof in GovTech

  Start with financial services.

• Your websiteCustomers page (meta description just "Customers"): featured stories include a multi-agent platform "powering 2M+ conversations across 10 countries", HubSpot's "Breeze AI", and Tripadvisor searching "1B+ multimodal reviews" for its AI Trip Planner with "2–3x more revenue from engaged users"; filters include Financial services, GovTech, Customer support and Developer tools. The Industries menu lists only E-commerce, Legal Tech, Hospitality & Travel, HR Tech and Healthcare Tech.Source
• Your websiteHomepage: H1 "High-Performance Vector Search at Scale"; "35k+ GitHub Stars", "60k+ Community Members", "SOC2 & HIPAA compliant"; a banner for "Qdrant 1.20: BM25 hybrid search without sparse vectors". Its meta description, which search results and AI tools read first, is still "Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.", and /llms.txt opens with the same sentence. The navigation lists Serverless as "Coming soon".Source
• Your websitePricing: Free Tier "Free forever" (0.5 vCPU, 1GB RAM, 4 GB disk); Standard, usage-based with a 99.5% SLA and marketplace subscriptions on AWS, Azure and GCP; Premium with a minimum spend, SSO, private VPC links and a 99.9% SLA; Hybrid Cloud and Private Cloud; a pricing calculator.Source

Publish an APAC page with support hours, cloud regions available, local customer stories and APAC-time webinars; run one meetup in Sydney or Tokyo and route APAC leads to the new team.

Visible local presence raises trust and inbound from a region Qdrant is starting to serve directly.

• Spreading a small team thin

  Pick one country first.

• HiringRegional go-to-market: a Business Development Representative (EMEA, Germany) who will "Qualify and progress inbound leads generated by marketing, content, and community channels" and build outbound workflows "using tools like Claude and Common Room"; a Senior Technical Success Manager in Australia or Japan (posted October 22, 2026) "building how we work in a new region" with support "in APAC hours"; and a Senior Support Engineer for EMEA.Source
• Your websitePricing: Free Tier "Free forever" (0.5 vCPU, 1GB RAM, 4 GB disk); Standard, usage-based with a 99.5% SLA and marketplace subscriptions on AWS, Azure and GCP; Premium with a minimum spend, SSO, private VPC links and a 99.9% SLA; Hybrid Cloud and Private Cloud; a pricing calculator.Source
• Your websiteCustomers page (meta description just "Customers"): featured stories include a multi-agent platform "powering 2M+ conversations across 10 countries", HubSpot's "Breeze AI", and Tripadvisor searching "1B+ multimodal reviews" for its AI Trip Planner with "2–3x more revenue from engaged users"; filters include Financial services, GovTech, Customer support and Developer tools. The Industries menu lists only E-commerce, Legal Tech, Hospitality & Travel, HR Tech and Healthcare Tech.Source

Build a template set (headline, proof number, code snippet visual) that generates variants per source system and use case, keeping brand rules. Test on LinkedIn against current creative.

Matched, specific ads lower cost per lead and the system scales without more designers.

• Off-brand output

  Designer reviews every variant.

• #1 Turn the 16 "migrate from" guides into "Switch from X" pages, and put switching in the navigation

• HiringMarketing Designer (freelance, posted October 7, 2026): art direction for AI-generated imagery and building "the internal AI tools and workflows that power our visual direction", applied to "landing pages, ad creatives, email visuals, and event materials", including "banner ads, LinkedIn creatives, and other performance marketing assets".Source
• Your websiteSitemap (October 22, 2026): 16 "migrate-to-qdrant/from-..." guides in the documentation (Pinecone, Weaviate, Milvus, Elasticsearch, OpenSearch, Solr, pgvector, Chroma, Redis, MongoDB, turbopuffer, S3 Vectors, DynamoDB, Azure AI Search, FAISS and Qdrant itself) built on the Qdrant Migration Tool. The only marketing page for switching is /lp/lucene ("Are your semantic search needs outgrowing Elastic and OpenSearch?"), which is not in the main navigation or linked from the homepage; the only comparison page is the blog post "Qdrant vs Pinecone", published February 2024.Source
• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source

Open a waitlist that asks for use case and current database, send a monthly build update, offer early access to the warmest cohorts first, and convert them with migration help at launch.

A waitlist turns a launch into a pipeline of qualified, pre-educated users.

• Launch date slips

  Keep updates honest.

• Your websiteHomepage: H1 "High-Performance Vector Search at Scale"; "35k+ GitHub Stars", "60k+ Community Members", "SOC2 & HIPAA compliant"; a banner for "Qdrant 1.20: BM25 hybrid search without sparse vectors". Its meta description, which search results and AI tools read first, is still "Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.", and /llms.txt opens with the same sentence. The navigation lists Serverless as "Coming soon".Source
• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source
• Your websiteSitemap (October 22, 2026): 16 "migrate-to-qdrant/from-..." guides in the documentation (Pinecone, Weaviate, Milvus, Elasticsearch, OpenSearch, Solr, pgvector, Chroma, Redis, MongoDB, turbopuffer, S3 Vectors, DynamoDB, Azure AI Search, FAISS and Qdrant itself) built on the Qdrant Migration Tool. The only marketing page for switching is /lp/lucene ("Are your semantic search needs outgrowing Elastic and OpenSearch?"), which is not in the main navigation or linked from the homepage; the only comparison page is the blog post "Qdrant vs Pinecone", published February 2024.Source

Build official templates with each framework (RAG, agent memory, hybrid search), co-host webinars and appear in their docs as a recommended store.

Being the default in framework examples brings developers before they compare databases.

• Partners support many databases

  Offer the best-maintained examples.

• Your websiteQdrant for Startups: "a 20% discount on Qdrant Cloud for the first year" for pre-seed to Series A startups under five years old with less than $5M in funding; applications "reviewed within 7-10 business days"; billing through Qdrant with card details required; perks from Hugging Face, LlamaIndex and Airbyte.Source
• Open sourceGitHub qdrant/qdrant: about 35,200 stars, 74 repositories active in the last 90 days; Docker image qdrant/qdrant pulled about 52.5 million times; the JavaScript clients see about 1.1 million npm downloads a week.Source
• Your websiteHomepage: H1 "High-Performance Vector Search at Scale"; "35k+ GitHub Stars", "60k+ Community Members", "SOC2 & HIPAA compliant"; a banner for "Qdrant 1.20: BM25 hybrid search without sparse vectors". Its meta description, which search results and AI tools read first, is still "Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.", and /llms.txt opens with the same sentence. The navigation lists Serverless as "Coming soon".Source

Publish a self-hosted-to-Hybrid guide, a cost comparison of running it yourself versus managed, and an offer for teams that request help in the community. Measure accounts moving from OSS to paid.

Operational pain at scale is the main reason OSS users pay, and Hybrid Cloud answers it without moving data.

• Community sees it as pushy

  Keep OSS docs neutral and the offer optional.

• Open sourceGitHub qdrant/qdrant: about 35,200 stars, 74 repositories active in the last 90 days; Docker image qdrant/qdrant pulled about 52.5 million times; the JavaScript clients see about 1.1 million npm downloads a week.Source
• Your websitePricing: Free Tier "Free forever" (0.5 vCPU, 1GB RAM, 4 GB disk); Standard, usage-based with a 99.5% SLA and marketplace subscriptions on AWS, Azure and GCP; Premium with a minimum spend, SSO, private VPC links and a 99.9% SLA; Hybrid Cloud and Private Cloud; a pricing calculator.Source
• HiringSolutions Engineer (US, posted September 22, 2026): runs POCs and architectural reviews and will "design migration paths from legacy search engines like Elastic, Solr, and OpenSearch to Qdrant", translating requirements (multi-AZ, sharding, replication) into pricing models.Source

Add a plain pricing section to llms.txt and a Markdown pricing page with tier rules and three worked examples (1M, 10M and 100M vectors), and link the calculator.

Accurate cost answers in AI tools remove a common reason buyers pick a rival before visiting.

• Examples read as quotes

  Label them as estimates.

• Your websiteContent (sitemap, 789 URLs): 347 documentation pages, 199 blog posts, 136 course pages, 47 technical articles and 7 benchmark pages; a certification program; a 185 KB /llms.txt linking Markdown versions of the docs; event pages for Vector Space Day SF 26. About 40 homepage images have no alt text.Source
• Your websitePricing: Free Tier "Free forever" (0.5 vCPU, 1GB RAM, 4 GB disk); Standard, usage-based with a 99.5% SLA and marketplace subscriptions on AWS, Azure and GCP; Premium with a minimum spend, SSO, private VPC links and a 99.9% SLA; Hybrid Cloud and Private Cloud; a pricing calculator.Source
• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source

Invite community members to submit projects, feature the best ones each month in the newsletter and social, and give featured builders swag and cloud credits.

Community proof is cheap, authentic and keeps the newsletter fresh.

• Low-quality projects

  Feature only reviewed ones.

• Your websiteHomepage: H1 "High-Performance Vector Search at Scale"; "35k+ GitHub Stars", "60k+ Community Members", "SOC2 & HIPAA compliant"; a banner for "Qdrant 1.20: BM25 hybrid search without sparse vectors". Its meta description, which search results and AI tools read first, is still "Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.", and /llms.txt opens with the same sentence. The navigation lists Serverless as "Coming soon".Source
• HiringGrowth Marketing Manager (US, posted October 14, 2026): owns "the end-to-end demand generation engine", built on "clean signal data, a scoring model that routes it, and reusable workflows". Will "Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) ... rather than sending high-intent accounts directly into cold sales outreach", "Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program", and "Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors."Source
• Open sourceGitHub qdrant/qdrant: about 35,200 stars, 74 repositories active in the last 90 days; Docker image qdrant/qdrant pulled about 52.5 million times; the JavaScript clients see about 1.1 million npm downloads a week.Source