stashbase
★ 1.1k
vs
azure-ai-search-foundry-iq-live-knowledge-sources
★ 17
stashbase vs azure-ai-search-foundry-iq-live-knowledge-sources
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.; azure-ai-search-foundry-iq-live-knowledge-sources: This accelerator helps platform teams connect various knowledge sources, such as Fabric Ontology or remote MCP tools, to an Azure AI Search Foundry IQ Knowledge Base. It enables natural language querying to receive grounded results with verifiable source evidence, integrating seamlessly with both REST and MCP clients.
01
TL;DR
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.
azure-ai-search-foundry-iq-live-knowledge-sourcesRAG / Knowledge Base · ★ 17
Evaluating Foundry IQ Live Knowledge Sources for managed organizations and conducting field demonstrations.
02
Side-by-Side Comparison
Field
stashbaseazure-ai-search-foundry-iq-live-knowledge-sourcesCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 1.1k
★ 17
License
Apache-2.0
MIT
Install Command
brew install --cask liliu-z/stashbase/stashbase
git clone --depth 1 https://github.com/microsoft/azure-ai-search-foundry-iq-live-knowledge-sources.git && cd azure-ai-search-foundry-iq-live-knowledge-sources && ./liveks bootstrap && ./liveks init --profile byo-fabric --env liveks-byo
Updated
1d ago
1w ago
Open Source
Yes
Yes
Tags
Local Files, RAG, AI Agents
Azure AI Search, Foundry IQ, Knowledge Base
03
Features
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.
azure-ai-search-foundry-iq-live-knowledge-sources01Integrates diverse knowledge sources, including Fabric Ontology and remote HTTPS MCP servers, into a unified Knowledge Base.
02Supports natural language queries against the Knowledge Base, providing grounded results with activity, references, and source data.
03Offers a comprehensive CLI (LiveKS) for validation, deployment, verification, invocation, and cleanup of resources.
04Exposes a native `knowledge_base_retrieve` endpoint compatible with MCP clients for seamless integration into agentic workflows.
05Includes an offline 'try' mode to inspect response and evidence contracts without requiring cloud resources.
04
Use Cases
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.
azure-ai-search-foundry-iq-live-knowledge-sources↳Evaluating Foundry IQ Live Knowledge Sources for managed organizations and conducting field demonstrations.
↳Connecting existing Microsoft Fabric workspaces and ontologies to enhance knowledge base grounding.
↳Validating live MCP Server Knowledge Sources to integrate external tools into retrieval processes.
↳Rehearsing greenfield deployments of Fabric and Azure AI Search resources for agentic retrieval solutions.
05
Best For
stashbaseTrending
azure-ai-search-foundry-iq-live-knowledge-sources—
FAQ
FAQ
What is the difference between stashbase and azure-ai-search-foundry-iq-live-knowledge-sources?
Both stashbase and azure-ai-search-foundry-iq-live-knowledge-sources are in the RAG / Knowledge Base category. stashbase has 1.1k stars, while azure-ai-search-foundry-iq-live-knowledge-sources has 17 stars.
Which is better, stashbase or azure-ai-search-foundry-iq-live-knowledge-sources?
The best choice depends on your use case. Choose stashbase if Providing AI agents with searchable access to research papers and contracts stored locally., and azure-ai-search-foundry-iq-live-knowledge-sources if Evaluating Foundry IQ Live Knowledge Sources for managed organizations and conducting field demonstrations..
Is stashbase free or open source?
Yes, stashbase is open source on GitHub (Apache-2.0).
Is azure-ai-search-foundry-iq-live-knowledge-sources free or open source?
Yes, azure-ai-search-foundry-iq-live-knowledge-sources is open source on GitHub (MIT).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→