Graphlit无服务器模式下的RAGaaS平台，适用于在未结构化数据上构建AI应用和智能代理

4.7 (6)

审阅者 Daniel Nikulshyn·更新 2026年5月

RAG API Serverless Knowledge Graph Developer Tools Vector Search Backend-as-a-Service

概览

Graphlit 是一个托管式后端平台，负责检索增强生成的繁重工作，让开发者在无需自己搭建管线的情况下摄取、处理和查询非结构化内容。它可连接文档、音频、视频及网络数据等来源，然后自动提取文本、生成嵌入，并将所有内容存储在知识图谱中，准备好供 LLM 查询。平台通过 APIs 和 SDKs 暴露其功能，适合构建 AI 代理、聊天机器人、搜索体验或内容工作流的团队。通过将向量存储、解析、转录和编排抽象成单一服务，Graphlit 旨在缩短从原始数据到生产就绪 AI 功能的路径。

主要功能

自动摄取文档、媒体和Web源数据
内置嵌入物和向量检索
从未结构化数据中构建知识图谱
音频和视频转录和内容提取
智能代理和工作流管理工具
REST API和开发者SDK

价格

模型: Freemium
分类: AI Agents
评分: 4.7 / 5 (6)

使用场景

基于内部文档构建AI聊天机器人

摄取公司文档，让Graphlit处理提取、嵌入物和检索，使开发者能够快速构建回答问题并且与内部文档相关的聊天机器人。

使用多模态语境为AI智能代理提供能量

通过利用Graphlit提供的API和SDK，智能代理可以通过统一的知识图谱从音频、视频和Web源中访问可搜索的数据。开发者无需自行构建数据摄取管线。

在应用程序中添加语义搜索

利用内置嵌入物和向量搜索功能，可以跳过管理向量数据库的工作，直接为混合内容类型提供语义搜索体验。

自动化媒体转录和分析工作流

将音频和视频馈送到Graphlit中，对其进行转录、提取文本并orchestration后续LLM工作流以进行内容处理或总结。

优点 & 缺点

优点

无需自行构建RAG堆栈
支持多种内容类型，包括音频和视频
无服务器模式降低了基础设施开支
SDK和API简化了集成

缺点

比自持管线有所不足的控制度
按用量计费可能在大规模使用下预测性有问题
需要将您的数据托管于第三方

评测

4.7

6 个评分的平均值。

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Omar Haddad

May 4, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: knowledge graph construction from unstructured data and eliminates the need to build a custom RAG stack. Where it lags: usage-based pricing can be unpredictable at scale. On balance the feature set — especially built-in embeddings and vector search — justifies the 4 stars for our use case.

Aisha Khan

Jan 15, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on transcription and content extraction, and sDKs and APIs simplify integration caught me off guard. Usage-based pricing can be unpredictable at scale is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Camille Laurent

Sep 27, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: automated ingestion of documents, media, and web sources and serverless model reduces infrastructure overhead. On balance the feature set — especially built-in embeddings and vector search — justifies the 5 stars for our use case.

Robert Ainsworth

Aug 16, 2025

Use it every day

Honestly didn't expect to like it this much. REST API and developer SDKs is exactly what I needed, and sDKs and APIs simplify integration. but I reach for it almost every day now and it just clicks.

Priya Nair

Jun 20, 2025

Use it every day

Honestly didn't expect to like it this much. REST API and developer SDKs is exactly what I needed, and eliminates the need to build a custom RAG stack. but I reach for it almost every day now and it just clicks.

Frank Müller

Jun 12, 2025

Use it every day

Honestly didn't expect to like it this much. REST API and developer SDKs is exactly what I needed, and sDKs and APIs simplify integration. I do wish less control than a self-hosted pipeline, but I reach for it almost every day now and it just clicks.