Developer tools
Qdrant
Give your AI app a memory that actually works — fast, accurate search across millions of pieces of information
Using Qdrant is like having a super-organized librarian who not only knows where every book is, but understands what each book is about — so when you ask a vague question, they hand you exactly what you needed even if you couldn't quite describe it.
Qdrant is a specialized database built to power the 'memory' and 'search' parts of AI applications. Instead of matching exact words like a regular search box, it understands meaning — so if someone searches for 'cheap flights,' it can find results about 'affordable airfare.' Companies use it to build smart chatbots that remember conversations, recommendation engines that suggest the right products, and AI tools that can search through company documents and answer questions about them.
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Rough fit scores (1–10) for different kinds of people. Tap a row to highlight it.
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See it in action
Real prompts you could paste into the product — pick a persona tab below.
Use case
Building a chatbot that answers questions from a company's help docs
Try this prompt
Store embeddings of 5,000 help articles in Qdrant and retrieve the top 5 most relevant chunks when a user asks 'How do I cancel my subscription?'
Performance, trust, value, improving fast, here to stay
Score shape
We check this tool every day. The SovereignScore™ and its five dimensions update automatically when our pipeline detects meaningful changes across benchmarks, pricing, GitHub activity, trust signals, and longevity data. Below is a transparent log of the most recent applied adjustments.
No automated score adjustments have been published for this tool yet. When our scoring engine approves a change, it will appear here with the reasoning we used.
High-performance vector engine with filtering, hybrid search, and cloud/self-host.
No published updates for this tool yet.
Same category — with a plain-English note on how they differ when we have comparison copy stored.
Turn any text into smart numbers your apps can use to find, sort, and match information by meaning — not just keywords
Qdrant is the actual database that stores and searches your AI's memory, while OpenAI Embeddings is the tool that turns text into the number codes Qdrant searches through — so they're often used together rather than as direct replacements.
The memory bank that helps AI apps instantly find the right information, even across billions of items
Qdrant and Pinecone do the same job of giving AI apps a smart 'memory,' but Pinecone is the fully managed option where they run everything for you, while Qdrant can be self-hosted if you'd rather control it yourself (and potentially save money).
Store and search the 'meaning' of your text — the simplest way to give your AI app a memory
Qdrant and Chroma both give AI apps a searchable memory, but Chroma is the simpler, easier-to-start option that runs on your own machine, while Qdrant is built to stay fast and accurate when you're dealing with millions of records in a serious production app.
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For builders who want the same update feed in their own apps — see /api/changelog.