TabulaRAG
БесплатноНе проверенEnables AI assistants to query tabular data (CSV/TSV) using natural language with cell-level citations, supporting multi-tenant workspaces, access control, and
Описание
Enables AI assistants to query tabular data (CSV/TSV) using natural language with cell-level citations, supporting multi-tenant workspaces, access control, and semantic search.
README
TabulaRAG
A fast-ingesting tabular data MCP RAG tool backed with cell citations.
Upload a CSV or TSV, then query it in natural language. Results include cell-level citations so you can trace exactly where each answer came from. We also have multi-role access where admin users can add, delete, edit datasets as well as invite users to their enterprise/organization via invite codes.
Features
- CSV/TSV ingestion — upload tabular files with automatic header detection, delimiter inference, and column type recognition (dates, money, measurements)
- Semantic search — each row is embedded via
sentence-transformers/all-MiniLM-L6-v2and indexed in Qdrant for natural-language retrieval with cell-level citations - Structured queries — filter and aggregate data through the API with SQL over PostgreSQL JSON columns
- Multi-tenant workspaces — enterprises with invite codes, roles (owner / admin / querier), and switchable active workspace
- Folders & access control — public, protected, and private folders with user-group-based permissions
- MCP server — exposes Streamable HTTP + SSE endpoints so AI assistants can use your tables as a retrieval tool
- Auth — Google OAuth and email/password with verification codes and password reset (via Brevo SMTP)
- Background indexing — threaded worker pool for non-blocking embedding and Qdrant upserts with progress tracking
Architecture
| Layer | Technology |
|---|---|
| Frontend | React 19, TypeScript 5.9, Vite 7, React Router 7 |
| Backend | Python 3.11, FastAPI, SQLAlchemy 2.x, Uvicorn |
| Database | PostgreSQL 16 |
| Vector store | Qdrant v1.13.4 (FastEmbed, 384-dim dense vectors) |
| Auth | JWT, Google OAuth, bcrypt |
| MCP | fastapi-mcp (Streamable HTTP + SSE) |
| Web server | Nginx 1.27 (production frontend) |
| CI | GitHub Actions (pytest, ESLint, Docker builds) |
MCP integration
TabulaRAG exposes endpoints for AI assistant integration:
| Type | URL |
|---|---|
| OpenAPI | http://localhost:8000/openapi.json |
| MCP (Streamable HTTP) | http://localhost:8000/mcp |
Authentication: use a personal MCP token (generated from the app's MCP section) in Authorization: Bearer <token>, or the server API_KEY for automation. Tokens are scoped per user and workspace.
If your MCP client runs outside the browser (e.g. Docker, desktop app), replace
localhostwith your machine's IP (ipconfigon Windows,ifconfigon Mac/Linux).
Local vs. Deployed
| Feature | Local (Docker Compose) | Deployed |
|---|---|---|
| Database | PostgreSQL in Docker | External PostgreSQL |
| Vector store | Qdrant in Docker | External Qdrant |
Prerequisites (Local)
| Tool | Version | Notes |
|---|---|---|
| Docker | Latest | https://docs.docker.com/get-docker/ |
| Docker Compose | v2+ | Bundled with Docker Desktop |
Docker Compose v2 is required (
docker compose, notdocker-compose). It ships with Docker Desktop on Mac and Windows. Linux users may need to install it separately.
You do not need to install Python or Node locally — everything runs inside containers.
Quick start
cp .env.example .env # create config (edit values as needed)
./scripts/dev-up.sh # build and start all services
Once running:
| Service | URL |
|---|---|
| Frontend | http://localhost:5173 |
| Backend API | http://localhost:8000 |
| PostgreSQL | localhost:5433 |
| Qdrant | http://localhost:6333 |
Health checks:
curl http://localhost:8000/health
curl http://localhost:8000/health/deps
Stop / logs:
./scripts/dev-down.sh
./scripts/dev-logs.sh # all services
./scripts/dev-logs.sh backend # single service
Environment variables
Copy .env.example to .env. The key variables:
| Variable | Required | Description |
|---|---|---|
POSTGRES_DB |
Yes | Database name (default: tabularag) |
POSTGRES_USER |
Yes | Database user (default: tabularag) |
POSTGRES_PASSWORD |
Yes | Database password |
DATABASE_URL |
Yes | PostgreSQL connection string (set in docker-compose) |
QDRANT_URL |
Yes | Qdrant endpoint (set in docker-compose) |
JWT_SECRET |
Yes | Secret for signing JWT tokens |
PUBLIC_API_BASE_URL |
Yes | Backend URL used in email links (default: http://localhost:8000) |
PUBLIC_UI_BASE_URL |
Yes | Frontend URL used in email links (default: http://localhost:5173) |
API_KEY |
No | Optional static key for script/API access |
GOOGLE_CLIENT_ID |
No | Google OAuth client ID |
GOOGLE_CLIENT_SECRET |
No | Google OAuth client secret |
SMTP_HOST |
No | Brevo SMTP relay for verification/reset emails |
SMTP_PORT |
No | SMTP port (default: 587) |
SMTP_USER |
No | SMTP login |
SMTP_PASSWORD |
No | SMTP key |
SMTP_FROM |
No | Sender email address |
SMTP is optional for local development. If
SMTP_HOSTis empty, verification and reset codes are written to the backend logs instead of being emailed. For any real deployment, configure SMTP so users receive emails.
The remaining variables in .env.example control embedding model tuning, Qdrant HNSW parameters, batch sizes, and indexing concurrency. The defaults work for local development.
License
Установка TabulaRAG
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/angelafeliciaa/TabulaRAGFAQ
TabulaRAG MCP бесплатный?
Да, TabulaRAG MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для TabulaRAG?
Нет, TabulaRAG работает без API-ключей и переменных окружения.
TabulaRAG — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить TabulaRAG в Claude Desktop, Claude Code или Cursor?
Открой TabulaRAG на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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