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关于 Vectorize
快速、准确、可随时投入生产的 RAG 管道 将您的非结构化数据转换为经过完美优化的矢量搜索索引，专为增强检索生成而构建。
Vectorize's 定价计划
Vectorize 可能随时更改价格。 这是我们的最新信息：
Vectorizeio 的定价计划
专业的
适用于构建生产管道和 RAG 应用程序的团队
$399
每月
- 最多 10 条 RAG 管道
- 带有 SLA 的全天候支持
初学者
适用于开始使用 LLM 和 RAG 的小型团队
$89
每月
- 最多 3 条 RAG 管道
- 通过 Discord 提供社区支持
- 带有 SLA 的全天候支持
免费
适用于构建基础实验和 RAG 流水线的个人开发人员。
$0
每月
- 1 个免费的简单 RAG 管道
- 通过 Discord 提供社区支持
- 带有 SLA 的全天候支持
你能获得什么
附加信息
Vectorize's Hindsight technology allows AI agents to retain and recall user interactions, fostering continuous improvement and learning from past mistakes. This agent memory system offers features like per-user persistent memory, cross-session persistence, and fast memory recall, which is crucial for developing advanced AI applications. The system operates independently of the underlying model, making it a versatile choice for developers.
One of the key benefits of Hindsight is its ability to automatically detect patterns and improve judgment over time. Instead of relying solely on hardcoded responses, agents utilize curated mental models that evolve based on user interactions. This adaptive learning process ensures that agents provide increasingly relevant and accurate responses, enhancing user experience.
Vectorize offers two deployment options: self-hosting using a simple Docker command for free or utilizing Hindsight Cloud, which is billed based on token usage with no fixed monthly fee. This flexibility allows teams to choose the best setup according to their needs, whether managing their own infrastructure or opting for a fully managed solution.
Built for developers and teams working with AI agents, Vectorize helps organizations implement effective memory capabilities within their applications. Support is available through community channels and offers additional services for users needing more tailored assistance or training.
常见问题
What is Vectorize used for?
矢量化-快速、准确、可随时投入生产的 RAG 管道.Is Vectorize free?
Vectorize has a free tier; paid plans unlock additional features.What are alternatives to Vectorize?
Where can I get Vectorize?
Vectorize is available at https://vectorize.io/.What category is Vectorize in?
Vectorize is listed in 工作流程和自动化.Is Hindsight really free to self-host?
Yes. Hindsight is MIT licensed with no usage limits, no telemetry, and no restrictions. Run it in production on your own infrastructure at no cost.What is the difference between self-hosted and Hindsight Cloud?
Self-hosted means you run Hindsight on your own servers using Docker. Hindsight Cloud is our fully managed service — we handle infrastructure, scaling, backups, and updates so you can focus on building.Can I migrate from self-hosted to Cloud later?
Yes. Contact us for assistance migrating your memory data from a self-hosted instance to Hindsight Cloud.How does Hindsight Cloud pricing work?
Hindsight Cloud is pay-as-you-go based on token usage. There is no fixed monthly fee and no per-seat pricing. You pay for the tokens consumed by each operation your agents perform.How much do tokens cost?
All pricing is per million tokens: Retain (store memories) — $15.00; Recall (retrieve memories) — $0.75; Reflect (synthesize patterns) — $3.00; Iris Extract (structured extraction) — $7.50; Mental Model Retrieve — $0.25; Mental Model Refresh — $3.00.Do you offer volume discounts?
Yes. If you expect significant token volume, contact us to discuss custom pricing.Is there a free tier?
You get free credits to get started, so you can build and test a real agent before any charges kick in.How much do operations cost?
Retain (store memories) — $10.00 per million tokens; Recall (retrieve memories) — $0.75 per million tokens; Reflect (synthesize patterns) — $0.05 per call; Iris Extract (structured extraction) — $7.50 per million tokens; Mental Model Retrieve — $0.25 per million tokens; Mental Model Refresh — $0.05 per call; Storage — $0.25 per million tokens stored per month.What is the difference between Hindsight Cloud and Enterprise?
Hindsight Cloud is our shared, self-serve service. Hindsight Enterprise adds enterprise security and contracted support, and can run as a dedicated single-tenant deployment in our cloud, in your own AWS, Google Cloud or Azure account, or on premises.
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