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Documentation Index

Fetch the complete documentation index at: https://docs.knowledgestack.ai/llms.txt

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Knowledge Stack
Build production-ready AI agents in under 1 hour. Knowledge Stack turns a pile of documents into an AI-ready knowledge base — drop in PDFs, DOCX, PPTX, Markdown, or plaintext and get back a hierarchical, multi-tenant, permission-aware corpus with semantic search, streaming chat, and workflow-driven ingestion behind a single REST API.

Watch the tour

Five short videos — ingestion, agents, citations, RBAC.

Book a demo

30 minutes on your own corpus with a founding engineer.

Quickstart

First ingest + search call in under five minutes.

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Pick your client

Install the CLI

uv tool install kscli — ingest, search, watch workflows from the terminal.

Python & TypeScript SDKs

pip install ksapi · npm install @knowledge-stack/ksapi — fully typed.

MCP server

Drop into LangGraph, Claude Desktop, Cursor, or any MCP-compatible host.

Cookbook

Runnable recipes — RAG, citations, bulk ingest, evals, agent workflows.

API Reference

Every endpoint, request, and response — generated from openapi.yaml.

Architecture

How ingestion, search, threads, and Temporal fit together.

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Install in 30 seconds

uv tool install kscli
kscli login --api-key sk-user-...

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Your first call

Ingest a document and run a semantic search. Pick your tool — every example targets the same endpoints. 
kscli documents ingest --file report.pdf --path-part-id <folder-path-part-id>
kscli chunks search --query "key findings" --limit 5

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What you can build

Use caseBuilding blocks
AI search across thousands of documents/v1/documents/ingest → /v1/chunks/search (dense, full-text, or hybrid)
Document Q&A with cited answers/v1/threads + /v1/threads/{id}/stream (SSE, document-anchored)
Multi-tenant SaaS knowledge basesTenant isolation, three roles (Owner / Admin / User), path-level grants
Internal RAG agentsMCP server plus ks-cookbook recipes for LangGraph, OpenAI Agents, CrewAI
Bulk ingestion pipelineskscli folders bulk-ingest + Temporal-backed background workflows

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See it in action

Knowledge Stack ships a reference workspace UI so your team (and your customers) can ingest, search, and chat without writing a single line of frontend code.
Knowledge Stack workspace home with sidebar of chats and files
Knowledge Stack chat showing inline citations on each fact in a SCADA report summary
Built-in citations are a core primitive — not a bolt-on. See the Citations guide for the SSE event shape, how to render badges, and how to resolve a citation back to its bounding box on the PDF.

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How the system fits together

┌──────────┐   upload   ┌──────────────┐   chunks    ┌────────────┐
│  Client  │ ─────────► │  /documents  │ ──────────► │  Temporal  │
└──────────┘            └──────────────┘             │  worker    │
      ▲                                              └─────┬──────┘
      │ search / chat / stream                             │ embed
      │                                                    ▼
┌──────────────┐    rank/filter    ┌──────────────┐  ┌──────────┐
│  /chunks/    │ ◄──────────────── │   Postgres   │  │  Qdrant  │
│   search     │                   │  (metadata)  │  │ (vectors)│
└──────────────┘                   └──────────────┘  └──────────┘
Read the full picture in Architecture. Key concepts: the path system (everything is a node in a Unix-style tree), authentication (cookie or API key), and authorization (path-level grants).

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Where to next

Quickstart

First ingest + search

Architecture

System overview

Path system

How content is organized

Ingestion pipeline

Conversion, chunking, embedding

Semantic search

Dense, full-text, hybrid

Threads & streaming

Chat with citations

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Talk to us

Book a demo

Walk through Knowledge Stack on your own data with a founding engineer.

Contact sales

Pricing, enterprise SSO, on-prem, and procurement questions.