serviette
Ready-to-use cloud templates for RAG, AI pipelines, and enterprise search.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 58.8k
- Source
- GitHub
- Added
- 2026-10-15
- Last verified
- 2026-10-15

Overview
AI Pipelines from Pathway Live Data Framework enable rapid production deployment of high-precision RAG and enterprise AI search applications. These templates support connecting and synchronizing data sources such as file systems, Google Drive, SharePoint, S3, Kafka, and PostgreSQL, with built-in data indexing capabilities that support vector search, hybrid search, and full-text search. Users can choose the appropriate template for local testing or cloud deployment (GCP, AWS, Azure, Render, etc.). The tool is ideal for enterprises handling large volumes of documents, enabling real-time data updates and maintaining up-to-date states.
Key features
- ▪Supports synchronization across multiple data sources
- ▪Built-in data indexing functionality
- ▪Scalable to millions of document pages
- ▪Supports multiple search methods
Use cases
Pros
- +Easy to deploy and use
- +Supports multiple cloud platforms
- +Real-time data synchronization
- +High-precision search
Limitations / notes
- -Requires internet connection
- -Higher learning curve
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, the project is open-source and available for free use.
Do I need to use a scientific internet connection?
No, but access to specific data sources may be required.
Does it support Chinese?
Not explicitly mentioned in the documentation, but theoretically supports multiple languages.
Can it be used commercially?
Yes, the project is open-source and can be used for commercial purposes as needed.
Similar agents
easy-stock
A-share market analysis and AI-powered research workbench offering stock analysis, quantitative trading, and post-market review.
QuantMind
An AI-native, multi-market quantitative trading platform for individual developers and research teams.
ai-berkshire
An AI-powered multi-agent parallel research framework providing professional-grade investment decision support.
go-stock
An AI stock analysis tool based on large language models, supporting A-shares, Hong Kong stocks, and U.S. stocks.
WrenAI
WrenAI is an open contextual layer that provides AI agents with the semantics, memory, and governance needed for business data queries.
TradingAgents-astock
A multi-Agent research and investment framework for A-shares, featuring 7 AI analysts debating decisions based on A-share market rules.
Something wrong? Let us know on the About page and we'll fix it.