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Selection guide6 reviewed entries

RAG Tools and Knowledge Bases

RAG tools organized by document ingestion, chunking, retrieval, citations, permissions, and freshness.

For teams that need AI to answer from their own documents, knowledge bases, or enterprise material.

How to choose

  • Document parsing and format coverage
  • Retrieval results are inspectable and citable
  • Permissions, isolation, and freshness
  • Deployment, evaluation, and integration cost

DECISION PATH

Start with one real task, inspect the official details, then compare only the candidates that pass your access and quality checks.

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CURATED RESOURCES

Recommended resources

Each entry links to its detail and official source
N

NotebookLM

Google 的资料问答笔记本，可生成音频概览。

OverseasFreemiumKnowledge base+2

Updated 2026-08-28

Visit official site
FastGPT

FastGPT

开源知识库问答平台，可视化工作流编排。

DomesticFreemiumKnowledge base+1

Updated 2026-08-28

Visit official site
RAGFlow

RAGFlow

深度文档理解的开源 RAG 引擎，表格解析出色。

DomesticFreeRAG+1

Updated 2026-08-28

Visit official site
L

LangChain

构建 LLM 应用、RAG 和 Agent 的开源框架。

GlobalFreeAgent+1

Updated 2026-08-28

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Dify

Dify

开源 LLM 应用开发平台，可视化编排 Agent 与 RAG。

GlobalFreemiumLLMOps+1

Updated 2026-08-28

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Open WebUI

Open WebUI

自托管的 AI 对话界面，可接 Ollama 与任意 API。

GlobalFreeSelf-hosted+1

Updated 2026-08-28

Visit official site

EDITORIAL

Read before choosing

All articles
Prompt

长文总结的正确姿势：分块、提取、合并

处理超长资料时，如何避免摘要遗漏重点或被上下文长度卡住。

RAG 与 Agent

RAG 入门：为什么要把检索放进生成流程

用通俗方式解释检索增强生成，区分知识更新、引用和幻觉问题。

RAG 与 Agent

向量检索不是魔法：切块和召回的实战方法

介绍文档切块、元数据过滤、混合检索和评测指标。

行业实践

个人知识库应该怎样开始

用低成本方式搭建个人知识库，重点放在可检索和可更新。

Related topics

All topics

RAG

Retrieval-augmented generation, enterprise knowledge bases, and document Q&A.

Agent

Agent frameworks, tool calling, and workflows.

Open Source

Open models, frameworks, and self-hosted solutions.