ai-workshop
★ 60
vs
stashbase
★ 1.1k
ai-workshop vs stashbase
ai-workshop: This workshop guides .NET developers in building AI applications, covering integration with Azure AI Foundry, vector data stores, and new .NET AI project templates. Participants will gain hands-on experience by constructing a complete AI-powered web application featuring an AI chatbot and semantic search over a product catalog.; stashbase: StashBase enables AI agents to search and utilize content from your local files, including PDFs, DOCX, images, audio, and video. It creates a searchable index from your folders, allowing agents to find relevant context by meaning rather than just keywords.
01
TL;DR
ai-workshopRAG / Knowledge Base · ★ 60
Building intelligent customer service chatbots for product information
stashbaseRAG / Knowledge Base · ★ 1.1k
When to choose:
- You want a desktop app that indexes folders of PDFs, DOCX, images, audio and video and shares them with Claude, Codex and other MCP clients.
- Your files must stay the source of truth: the index can be rebuilt, and removing a folder never deletes files.
- You want exact text search with no key, and semantic search only if you opt in.
When to skip:
- Your documents cannot leave the machine and you need semantic search: it sends content to OpenAI or OpenRouter.
- You are on Linux and need official support: Linux builds are community-supported.
- You only need one file converted now and then: an MCP converter is lighter.
02
Side-by-Side Comparison
Field
ai-workshopstashbaseCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 60
★ 1.1k
License
MIT
Apache-2.0
Install Command
dotnet new install Microsoft.Extensions.AI.Templates
brew install --cask liliu-z/stashbase/stashbase
Updated
3d ago
1d ago
Open Source
Yes
Yes
Tags
.NET AI, RAG, Azure OpenAI
Local Files, RAG, AI Agents
03
Features
ai-workshop01AI Chatbot for conversational interaction and product inquiries
02AI-generated product descriptions and categories for a product catalog
03Semantic search utilizing vector embeddings for efficient document retrieval
04Integration with Azure AI Foundry (Azure OpenAI) for powerful AI models
05Support for local models (Foundry Local / Ollama) and fallback mechanisms for AI providers
stashbase01Extracts searchable text from various formats including PDFs, DOCX, images (OCR), audio, and video (transcription).
02Semantic search capabilities to find relevant context by meaning, supported by an AI Index.
03Connects and shares searchable context across Claude, Codex, and other MCP clients and built-in agents.
04Maintains local files as the source of truth, with indexes and derived data stored separately.
04
Use Cases
ai-workshop↳Building intelligent customer service chatbots for product information
↳Enhancing e-commerce platforms with AI-generated content and semantic search
↳Developing RAG-based applications for querying large knowledge bases
↳Learning best practices for deploying .NET AI applications from development to production on Azure
stashbase↳Providing AI agents with searchable access to research papers and contracts stored locally.
↳Enabling chatbots to answer questions based on internal documentation, scanned documents, and recordings.
↳Developers wanting to query project design documents and architecture notes using a built-in AI agent.
↳Organizing and searching personal knowledge bases that primarily consist of diverse local file types.
05
Best For
ai-workshop—
stashbaseTrending
FAQ
FAQ
What is the difference between ai-workshop and stashbase?
Both ai-workshop and stashbase are in the RAG / Knowledge Base category. ai-workshop has 60 stars, while stashbase has 1.1k stars.
Which is better, ai-workshop or stashbase?
The best choice depends on your use case. Choose ai-workshop if Building intelligent customer service chatbots for product information, and stashbase if Providing AI agents with searchable access to research papers and contracts stored locally..
Is ai-workshop free or open source?
Yes, ai-workshop is open source on GitHub (MIT).
Is stashbase free or open source?
Yes, stashbase is open source on GitHub (Apache-2.0).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→