概览
主要功能
- 近似最近邻查找（HNSW）
- 基于负载的元数据筛选
- 水平扩展和分片
- REST 和 gRPC API
- Qdrant 云服务管理
- 与 LangChain 和 LlamaIndex 的集成
价格
- 模型
- Freemium
- 分类
- 系统保存质程师
- 评分
- 4.4 / 5 (5)
使用场景
检索增强生成：LLMs
将存储和查询嵌入物来为 LLM 应用程序提供相关上下文，利用与 LangChain 和 LlamaIndex 的集成来启用 RAG 管道。
语义搜索：跨大数据集
使用嵌入物元数据来建立高维度嵌入物，开启了快速、筛选的语义搜索能力。支持对文档、产品或媒体的快速筛选
推荐系统
使用近似最近邻查找和负载过滤结合，向用户或商品提供定制化的推荐
嵌入物异常检测
通过比较向量相似度，检测高维度数据中的异常点，支持诸如欺诈安全性或质量监控等生产力
优点 & 缺点
优点
- 开源并且允许许可
- 由于使用了 Rust 而取得了高性能
- 合并了向量搜索和丰富的筛选
- 提供了云和自主主机选项
- 强大的生态系统集成
- 与其他商业竞争对手相比，更有企业特性
缺点
- 需要熟悉向量嵌入物
- 在非常大规模的情况下需要运营调优
- 与一些商业对手相比缺乏企业功能
对决战绩
在万神殿中参与了 2 对决。
Last 2 battles
评测
5 个评分的平均值。
登录以留下评测。
Solid for our team
We rolled this out across the team last quarter and high performance due to Rust implementation. REST and gRPC APIs fits neatly into how we already work, and horizontal scaling and sharding removed a step we used to do by hand. but it has held up under daily use.
Use it every day
Honestly didn't expect to like it this much. Payload-based metadata filtering is exactly what I needed, and open-source with a permissive license. I do wish requires familiarity with vector embeddings, but I reach for it almost every day now and it just clicks.
Solid for our team
We rolled this out across the team last quarter and managed cloud and self-hosted options. Horizontal scaling and sharding fits neatly into how we already work, and horizontal scaling and sharding removed a step we used to do by hand. but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on rEST and gRPC APIs, and high performance due to Rust implementation caught me off guard. Fewer enterprise features than some commercial rivals is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Years in this space
I've evaluated a lot of these over the years. What stands out here is payload-based metadata filtering — handled better than most — and open-source with a permissive license. Fewer enterprise features than some commercial rivals is my one real gripe. Worth the time if this is your use case.
问答
How Is Billing Calculated Month-to-Month?
Billing is calculated based on actual resource usage during the billing period. You're charged for compute (vCPU), memory (GB), storage (GB) consumed by your clusters, storage (GB) consumed by backups, and used inference tokens of paid models. Usage is billed hourly, and you can monitor it through the Qdrant Cloud dashboard.
Asked by Xiomara Delgado · Dec 6, 2025
What's the Difference Between Managed, Hybrid, and Private Cloud?
Managed Cloud is fully managed by Qdrant. Hybrid Cloud lets you bring your own infrastructure while using Qdrant's management plane. Private Cloud gives you complete control with on-premise deployment.
Asked by Wesley Adekunle · Nov 8, 2025
How Do I Choose Between Free Tier and Standard Tier?
The Free Tier is ideal for testing, and prototypes being limited to 1GB RAM and 4GB disk without high availability. Choose the Standard Tier for workloads that require dedicated clusters, higher availability, and advanced features.
Asked by Ingrid Bauer · Oct 28, 2025
What Happens if I Exceed Free Tier Limits?
If your data size growth exceeds the Free Tier limits (1GB RAM and 4GB disk), you can easily upgrade to a Standard Tier and scale up your cluster.
Asked by Kwame Mensah · Sep 28, 2025
How Does Qdrant Cloud Pricing Work?
Qdrant Cloud pricing is based on resource usage, if you have a bigger cluster, you pay for more. The free tier includes 1GB RAM and 4GB disk storage, upgrading will get you a dedicated cluster.
Asked by Farah Rahimi · Sep 28, 2025
提问
系统保存质程师 的替代品
高智慧的调试助手，帮助开发者快速找到并修复 AI 生成的代码错误。
SwarmStack系统保存质程师产品规划、范围划定和建构建议的机器人助手
Warp AI系统保存质程师基于 AI 的终端工具，将自然语言转换为shell命令和工作流程
CopyChecker AI Reverse Image Search系统保存质程师反向图片搜索，追溯原始来源并识别重复或相似图片。
OG Pilot系统保存质程师一键生成Open Graph图片，快速高质量的链接预览
LeanSentry系统保存质程师AI powered IIS 和 ASP.NET 性能问题诊断与监控
Wrapifai系统保存质程师不需编码即可建立小众 AI 工具，吸引搜索流量并捕获潜在客户。
Plexe系统保存质程师使用自然语言.prompt生成自定义机器学习模型
