Pipeshub AI

PipesHub - Explainable & Extensible

PipesHub is an open-source, self-hosted AI-native execution layer that connects enterprise knowledge, delivers explainable search with citations, and automates workflows across your systems.

Features

• 📝 Explainable Answers: PipesHub delivers grounded answers with precise block citations to the original documents.
• 🔒 Permission-Aware Search: Enforces source-level access controls so users only see what they're authorized to.
• 🕸️ Knowledge Graph Retrieval: Graph-backed retrieval that captures relationships across enterprise data.
• 🔌 Enterprise Connectors: 30+ connectors with real-time and scheduled indexing out of the box.
• 🔍 Unified Search, Deep Research, and Agents: Search, Q&A, deep research, web search, and AI agents on one context layer.
• 📊 Artifacts and Code Execution: Generate reports, charts, and dashboards in a safe execution sandbox.
• 🎙️ Multimodal Support: Image, diagram, and scanned-file understanding plus voice-based interaction.
• 🤖 No-Code Agents and Actions: Build agents visually and execute actions across enterprise tools.
• 🧠 Bring Your Own Model, Fully Self-Hostable: Any LLM provider, deployed in your VPC — data never leaves your infrastructure.
• 🛠️ Developer-First and Extensible: APIs, SDKs, MCP tools, custom connectors, and independently scalable services.

PipesHub in Action

Connectors

Citations

All Records

Knowledge Search

Connectors

File Formats Supported

Format	Details
PDF	Including scanned PDFs
Docx / Doc	Microsoft Word
XLSX / XLS	Microsoft Excel
PPTX / PPT	Microsoft PowerPoint
CSV	Comma-separated values
Markdown	.md files
HTML	Web pages
Text	Plain text files
Google Docs, Sheets, Slides	Google Workspace formats
Images	PNG, JPG, etc.
Audio	Audio files
Video	Video files

Tech Stack

Frontend

Technology	Description
Next.js	App Router UI (client-rendered React)
TypeScript	Strongly typed JavaScript superset
Radix UI Themes	Accessible component primitives and styling
Zod	Schema validation and parsing
React Hook Form	Flexible form state management

Backend

Technology	Description
FastAPI	High-performance Python web framework
LangChain	Framework for LLM pipelines
LangGraph	State graph for LLM workflows
Qdrant	Vector similarity search engine
Neo4j / ArangoDB	Graph database
Kafka / Redis Streams	Distributed event streaming platform
Redis	Caching
Redis / etcd3	Distributed key-value configuration store
Celery	Distributed task queue system
Docling	Document parsing and extraction toolkit
PyMuPDF	PDF processing library
OCRmyPDF	OCR text layer for PDFs
pandas	Data analysis and manipulation

🚀 Deployment Guide

PipesHub (the Workplace AI Platform) can be run locally or deployed on the cloud using Docker Compose. Note: If you are deploying PipesHub on a cloud server, make sure you are using an HTTPS endpoint. PipesHub enforces stricter security checks, and browsers will block certain requests when the application is served over HTTP. You can use a reverse proxy like Cloudflare, Nginx, or Traefik to terminate SSL/TLS and provide a valid HTTPS certificate. If you see a white screen after deploying PipesHub while accessing it over HTTP, this is likely the cause. The frontend will refuse to load due to stricter security checks.

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📦 Production Deployment

# Clone the repository
git clone https://github.com/pipeshub-ai/pipeshub-ai.git

# 📁 Navigate to the deployment folder
cd pipeshub-ai/deployment/docker-compose

# Set Environment Variables
> 👉 Set Environment Variables for secrets, passwords, and the public URLs of the **Frontend** and **Connector** services
> _(Required for webhook notifications and real-time updates)_
> Refer to env.template

# 🚀 Start the production deployment
docker compose -f docker-compose.prod.yml -p pipeshub-ai up -d

# 🛑 To stop the services
docker compose -f docker-compose.prod.yml -p pipeshub-ai down

📦 Developer Deployment Build

# Clone the repository
git clone https://github.com/pipeshub-ai/pipeshub-ai.git

# 📁 Navigate to the deployment folder
cd pipeshub-ai/deployment/docker-compose

# Set Optional Environment Variables
> 👉 Set Environment Variables for secrets, passwords, and the public URLs of the **Frontend** and **Connector** services
> _(Required for webhook notifications and real-time updates)_
> Refer to env.template

# 🚀 Start the local build deployment
docker compose -f docker-compose.build.neo4j.yml -p pipeshub-ai up --build -d

# 🛑 To stop the services
docker compose -f docker-compose.build.neo4j.yml -p pipeshub-ai down

MCP Server

Use PipesHub with any MCP-compatible client to bring your enterprise context into AI workflows. Check the README for setup and usage.

Repository: pipeshub-ai/mcp-server

SDKs

PipesHub provides developer SDKs for Python, TypeScript, and Go to help you integrate quickly. Check the respective SDK repository README for setup and usage details.

Name	Description	Link
Python SDK	Python SDK for PipesHub	pipeshub-ai/pipeshub-sdk-python
TypeScript SDK	TypeScript SDK for PipesHub	pipeshub-ai/pipeshub-sdk-typescript
Go SDK	Go SDK for PipesHub	pipeshub-ai/pipeshub-sdk-go

Need an SDK in another language? Reach out to us at developer@pipeshub.com

RoadMap

We ship in the open. Here's what's done and what's next:

• ✅ 🤖 Workplace AI agents: first-class no-code agent builder
• ✅ 🔗 MCP (Model Context Protocol) support, both server and client
• ✅ 🧰 Developers SDKs
• ✅ 🔍 Code search across GitHub, GitLab, and Bitbucket
• ⬜ 👤 Personalized search based on team, role, and history
• ✅ ☸️ Production Kubernetes deployment with HA defaults
• ⬜ 📈 PageRank-augmented relevance across the knowledge graph

👉 View the full product roadmap on Notion

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👥 Contributing

Want to join our community of developers? Please check out our Contributing Guide for more details on how to set up the development environment, our coding standards, and the contribution workflow.

Where to go for what

Ask a question or get help	Discord
Report a bug or request a feature	GitHub Issues
Report a security issue	Report Security Issue
Read the docs	Pipeshub Docs

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