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cogneeMemory for AI Agents in 6 lines of code“Qdrant is easy to use, fastembed is our favorite tool and developer documentation is no match.”
Vector DatabaseMaker says so · source ↗
Qdrant
Open-source vector search engine written in Rust for storing and querying high-dimensional embeddings.
Works with AI agents:llms.txtAsk your AI about this, with this page as the source:ChatGPT ↗Claude ↗Perplexity ↗
Qdrant is a vector search engine. You store points (an ID, one or more vectors and a JSON payload) in collections, then ask for the points nearest to a query vector, optionally narrowed by conditions on the payload. It typically backs semantic search and RAG.
It runs as its own server that your app calls over REST or gRPC, with official clients for Python, JavaScript/TypeScript, Rust, Go, .NET and Java. You add a payload index on each field you filter by; these extend the HNSW graph, so filters apply during the graph search itself. A point can hold several named vectors, including sparse ones for keyword matching, so hybrid queries stay in one collection. Embeddings come from your own code, the FastEmbed library, or Cloud Inference on Qdrant Cloud.
Useful for a small team: vectors and the index can be moved from RAM to disk as data grows; many tenants can share one collection keyed by a tenant field; API keys can be read-only or scoped to single collections; and a migration tool streams data in from other vector databases. It runs from the open-source Docker image, on Qdrant Managed Cloud (AWS, GCP, Azure), or as managed clusters on your own infrastructure.
Limits: a self-hosted instance has no authentication until you configure it, and the open-source build leaves replication, backups and monitoring to you. Upgrades must go one minor version at a time and cannot be rolled back. The free cloud cluster is a single small node.
Where it fits
How Qdrant itself is built
3 tools, from its own code, website and Product Hunt page.
Who uses it
18 makers' products, each linked to the source that shows it, and 68 open-source projects that declare it in their code.
cogneeMemory for AI Agents in 6 lines of code
ByteroverFile-based memory for agents with >92% retrieval accuracy“Vector database enabling fast semantic search and retrieval of coding memories.”
Vector DatabaseMaker says so · source ↗
VoltAgentBuild TS AI agents with n8n-style observability“Qdrant’s performance and cloud inference options are solid. It feels reliable for production workloads across modalities.”
Vector DatabaseMaker says so · source ↗
AICampAI platform for businesses; Private RAG w/ 100+ LLMs“Thanks to Qdrant, we utilize it as a vector database to store our knowledge base and uploaded file data. Our RAG would not be possible without it.”
Vector DatabaseMaker says so · source ↗
WiseWorldThe only product that turns soft skills into actionable data“Amazing infrastructure for creating complex RAG system. Thank you”
Vector DatabaseMaker says so · source ↗
AprilVoice assistant app for iPhone that manages email and calendar by spoken commands, such…“Simple to setup and start using”
Vector DatabaseMaker says so · source ↗
Conva.AIBuild an AI Assistant for your App in 1 click“After evaluating a bunch of Vector DBs to be our internal vector DB, we finally closed on QDrant because it was the one that scaled the best and had the best price performance ratio”
Vector DatabaseMaker says so · source ↗
LyzrPrivate Agent SDKs to build Generative AI Applications“Efficient similarity search, making it ideal for applications in recommendation systems, image recognition, and semantic search.”
Vector DatabaseMaker says so · source ↗
OmniflowAI-powered tool for automating product development lifecycleVector DatabaseMaker says so · source ↗
SolverOffload coding tasks to AI while you tackle bigger problems“We love being able to self-host our custom indexes so we can be sure our customers' code is safe.”
Vector DatabaseMaker says so · source ↗
TragAI code review tool that checks every pull request against rules written in plain Englis…“Our choice of vectordb, as engineers the experience is great!”
Vector DatabaseMaker says so · source ↗
ZamsThe Sales Automation Platform for B2B companies“We evaluated a bunch of vector DBs—and Qdrant stood out for its blazing speed, filtering, and hybrid search. It's the unsung hero that lets our AI agents recall and reason across docs, CRMs, and conversations in milliseconds.”
Vector DatabaseMaker says so · source ↗
SuperflexWrite Front-End Code 10x Faster ⚡️“Really easy integration and connection to our existing cloud providers.”
Vector DatabaseMaker says so · source ↗
TrieveAll-in-one AI Infrastructure Suite“Most performant and scaleable vector database we could find + written in Rust!”
Vector DatabaseMaker says so · source ↗
TruelinkReal-time mobile security with AI & VPN to stop threats“We use Qdrant to store and search high-dimensional vector embeddings of malicious patterns, phishing URLs, and threat indicators. This empowers Truelink to compare new threats against known vectors instantly using semantic AI.”
Vector DatabaseMaker says so · source ↗“Semantic search + boolean search and fantastic documentation and developer community”
Vector DatabaseMaker says so · source ↗“Qdrant's free tier helped quickstart a POC”
Vector DatabaseMaker says so · source ↗“Thanks to ElevenLabs for the startup grant, helping Sonura grow!”
Vector DatabaseMaker says so · source ↗Open source: a project that declares Qdrant as a dependency in its public code — verifiable, but not necessarily a live product.
What makers say
15 makers on why they use Qdrant, in their own words on Product Hunt.
We use Qdrant to store and search high-dimensional vector embeddings of malicious patterns, phishing URLs, and threat indicators. This empowers Truelink to compare new threats against known vectors instantly using semantic AI.
TruelinkSep 2026 ↗We evaluated a bunch of vector DBs—and Qdrant stood out for its blazing speed, filtering, and hybrid search. It's the unsung hero that lets our AI agents recall and reason across docs, CRMs, and conversations in milliseconds.
ZamsSep 2026 ↗After evaluating a bunch of Vector DBs to be our internal vector DB, we finally closed on QDrant because it was the one that scaled the best and had the best price performance ratio
Conva.AISep 2026 ↗Thanks to Qdrant, we utilize it as a vector database to store our knowledge base and uploaded file data. Our RAG would not be possible without it.
AICampSep 2026 ↗Efficient similarity search, making it ideal for applications in recommendation systems, image recognition, and semantic search.
LyzrSep 2026 ↗Loved and watch-outs
Themes that recur in makers' words and Hacker News comments, each linked to what it summarises, with how Product Hunt tags its reviews.
Most loved
- It is fast and scales with strong price-performance, helped by its Rust core. PH
- Payload filtering and hybrid semantic plus boolean search work together. PH
- Runs easily self-hosted in Docker, a common pick for local RAG and agent memory. PHHNHN 2HN 3
- Documentation is strong, and FastEmbed provides local embeddings without an external API. PHHN
On Product Hunt 5.0★ · 23 reviews
fast performance 7semantic search 6excellent documentation 3efficient similarity search 2scalable 2self-hosting 2
Read the reviews on Product Hunt ↗Who switches
Public pull requests on GitHub since Oct 2024 whose title says "X to Y" — real code changes moving a project from one tool to another, by developers in general. Open a row to see the pull requests.
Chroma → Qdrant4 PRs
- feat(rag_core): switch retriever backend from Chroma to Qdrant financ…Xeoyeon/Whyfi-v2 · 2026-08-14
- Migrate RAG vector storage from local Chroma to Qdrantseethygerald/myfinancialapp · 2026-05-24
- feat: migrate chroma to qdrantrobbypambudi/RAGforge · 2025-10-08
- Add Chroma DB support as an alternative to Qdranthadv/wisdomforge · 2025-03-27
Pinecone → Qdrant3 PRs
- Migrate from Pinecone to Qdrant; add unit tests and update docsganura-epam/pdfchatbot · 2026-03-21
- Migrate vector database from Pinecone to Qdranthunterbryant/HuntBot · 2026-03-09
- Chucking PineCone for RAG , Switching to QdrantAdityaPrakash781/VytalCare · 2025-12-08
Qdrant → pgvector9 PRs
- Refactor vector storage from Qdrant to Supabase pgvectorunais-08/docs-query-RAG · 2026-09-23
- Feature/qdrant to pgvectorahmedeldamaty20/mini-rag · 2026-08-23
- migrated from qdrant to pgvectorJrahimin/rag-builder · 2026-07-16
- feat(brain): move the vector store from Qdrant to Supabase pgvectorwildlifeai/ww-website · 2026-07-09
- Change from qdrant vector db to postgres pgvectorKicaRonaldOkello/chat_pdf · 2026-07-07
- Migrate from Qdrant to pgvector: update configurations, remove Qdrant references, and adjust indexing logicnandinigthub/Knowledge-hunt · 2026-07-06
- feat: drop Qdrant — migrate fully to PGVector + PGVector semantic cachesuncirkles/nexus-learner · 2026-04-15
- Migrate from Qdrant to PostgreSQL pgvector for vector storagedx-junkyard/episteme-graph · 2026-03-23
- Migrate vector database from Qdrant to pgvectorLucasgarciamdz/tesis-entrenai · 2025-05-21
Alternatives to Qdrant
All alternatives by situation →ChromaPrototyping RAG on your laptop with a pip or npm install and no server to run.Compare with Qdrant →
LanceDBAn embedded vector database that stores vectors and data as files on local disk or object storage, with no server to run.Compare with Qdrant →
WeaviateHybrid search that mixes keyword and vector results, with built-in modules that can create embeddings for you.Compare with Qdrant →
turbopuffer
MongoDB
MilvusQuestions makers ask about Qdrant
Is a self-hosted Qdrant secure out of the box?
No. A self-hosted instance listens on all network interfaces with no authentication until you set up API keys and TLS yourself; Qdrant Cloud clusters are secured by default. source ↗
Which languages have official clients?
Python, JavaScript/TypeScript, Rust, Go, .NET and Java. For any other language you can call the REST API or generate a client from the OpenAPI or protobuf definitions. source ↗
What are the limits of the free cloud cluster?
It is one node with 1 GB RAM, 0.5 vCPU and 4 GB disk (roughly a million 768-dimension vectors), no credit card needed. An unused free cluster is suspended after a week and deleted after four weeks of inactivity. source ↗
Can I move my data from Pinecone, Chroma or Weaviate?
Yes. The Qdrant Migration Tool, run as a Docker container, streams data in batches from other vector databases (and between Qdrant instances, such as self-hosted to Cloud) and can resume an interrupted run. source ↗
Should I create a collection per customer?
Usually not. Each collection has its own overhead, and Qdrant Cloud caps a cluster at 1000 collections by default; the recommended pattern is one collection with a tenant field in the payload, or a dedicated shard per large tenant. source ↗
Is Qdrant Cloud SOC 2 and HIPAA compliant?
Qdrant holds SOC 2 Type 2 and HIPAA certifications, with reports in its Trust Center, and offers a DPA for GDPR. Cluster data stays in the region you deploy to, while telemetry and logs go to its US management plane. source ↗
Can I skip versions when upgrading, or downgrade later?
Compatibility is only guaranteed between consecutive minor versions, so you upgrade one step at a time, and downgrades are not supported because data is migrated to the new storage format. Keep clients within one minor version of the server. source ↗
What uptime SLA does Qdrant Cloud offer?
The free tier has none. The Standard tier carries a 99.5% SLA, and Premium offers 99.9% in a single availability zone or 99.95% across several. source ↗
Is Qdrant free?
Yes — there is a free tier a small product can run on; paid use starts at Usage-based, no minimum. source ↗
Is Qdrant open source or self-hostable?
Open source, and you can self-host it. source ↗
Can AI coding agents work with Qdrant?
It serves an llms.txt docs index.
Who uses Qdrant?
18 makers' products we track, each with a source, and 68 open-source projects declare it in their code. source ↗