概览
主要功能
- 托管的RAG管道
- 文档摄入和切分
- 带有引用的向量检索
- 无限上下文支持
- API和SDK访问
- 开源代码库
价格
- 模型
- Free
- 分类
- 研究
- 评分
- 4.8 / 5 (4)
使用场景
基于来源的文档搜索
构建一个搜索体验,针对产品或技术文档,返回带有引用的答案,帮助用户找到已验证的信息,而不是浏览页面。
内部知识助理
将公司wiki、政策和内部文档连接到LLM驱动的助理,以便员工获得基于组织内容的准确、有引用的答案。
客户支持AI代理
部署一个支持聊天机器人,使用您的知识库回答客户问题,并提供引用,让代理和用户可以验证响应与源材料。
自定义RAG驱动聊天机器人
使用API和SDK将检索增强聊天嵌入到应用程序中,无需从头构建摄入、切分、嵌入和检索基础设施。
优点 & 缺点
优点
- 开源且可自我托管
- 基于引用的答案减少了幻觉
- 处理大量上下文
- 面向开发者的API和SDK
缺点
- 需要技术设置和集成
- 比无代码替代品少精致
- 质量取决于源数据准备
评测
4 个评分的平均值。
登录以留下评测。
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on vector retrieval with citations, and developer-focused API and SDKs caught me off guard. Quality depends on source data preparation is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on document ingestion and chunking, and handles large context volumes caught me off guard. still, I'd recommend giving it a real trial.
Compared a few options
Evaluated this against two competitors. Where it wins: unlimited context support and open-source and self-hostable. On balance the feature set — especially document ingestion and chunking — justifies the 5 stars for our use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is vector retrieval with citations — handled better than most — and handles large context volumes. Requires technical setup and integration is my one real gripe. Worth the time if this is your use case.
问答
Do you offer discounts for startups or non-profits?
Yes, we offer special pricing for qualifying startups and non-profit organizations. Please contact us with the details of your organization and we'll be in touch.
Asked by Ravi Kapoor · Jul 23, 2025
Can I upgrade or downgrade my plan?
Yes, you can change your plan at any time. When upgrading, you'll have immediate access to the new features. When downgrading, you'll receive a prorated bill based on your usage.
Asked by Lucas Petit · Jul 17, 2025
什么是连接器Connectors?
连接器是与外部数据源如Google Drive,SharePoint,Notion的自动同步内容到您的知识库的集成
Asked by Paloma Ruiz · Jun 8, 2025
Agentset 中什么被算作一页?
我们会以 1000 个已解析的文本字符作为一页大小,这可能与您的 PDF、Powerpoint 或 Word 文档显示的页数不符。
Asked by Sami Virtanen · Jun 1, 2025
提问
研究 的替代品
Patsnap Eureka
研究
专注领域的 AI 代理,为了提高研发和创新流程的效率
stockbuzz.ai
研究
股市研究和市场洞察的AI-powered 查找引擎
Stock Market Analysis
研究
即时股市资讯、新闻和市场数据按照您的首选格式传递。
Lexicon
研究
结构化比较搜尋引擎提供对八个维度的分析判斷.
Extruct AI
研究
实时公司情报,实现精准B2B线索发现
Deepfind
研究
实时网络研究,将顶级结果合成为一个答案
SciSummary
研究
AIpowered scientific article and research paper summary
Infora AI
研究
人工智能powered搜索和知识参与平台,促进更快、更智慧的发现










