bagel
★ 400
vs
azure-ai-search-foundry-iq-live-knowledge-sources
★ 17
bagel vs azure-ai-search-foundry-iq-live-knowledge-sources
bagel: Bagel enables users to query robotics, drone, and IoT data using plain English, performing calculations with auditable DuckDB SQL queries. It also features an intelligent edge data reduction pipeline to process data on the device and integrates with various LLMs for conversational data interaction.; 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
bagelRAG / Knowledge Base · ★ 400
Summarizing metadata and analyzing sensor data from various robotics, drone, and IoT data formats (e.g., ROS, PX4, MQTT).
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
bagelazure-ai-search-foundry-iq-live-knowledge-sourcesCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 400
★ 17
License
Apache-2.0
MIT
Install Command
git clone https://github.com/Extelligence-ai/bagel.git && cd bagel && docker compose run --service-ports ros2-kilted
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
4d ago
1w ago
Open Source
Yes
Yes
Tags
Robotics, IoT, Data Analysis
Azure AI Search, Foundry IQ, Knowledge Base
03
Features
bagel01Ask in plain language, eliminating the need for deep domain expertise.
02Transparent calculations using deterministic SQL queries, ensuring auditable results.
03Natural-language data reduction pipelines to process and keep only relevant event windows on the edge.
04Broad LLM support, integrating with models like Claude Code, Gemini, Cursor, Codex, and local LLMs.
05Extensible capabilities through POML files, allowing users to teach Bagel new tricks.
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
bagel↳Summarizing metadata and analyzing sensor data from various robotics, drone, and IoT data formats (e.g., ROS, PX4, MQTT).
↳Analyzing sensor data with natural language queries to find peaks, running averages, or cross-topic correlations.
↳Automating event detection and data snippet extraction (e.g., finding decelerations and cutting relevant time windows).
↳Monitoring and analyzing ROS text logs for errors and warnings without needing to open a bag file.
↳Implementing standing edge data reduction pipelines to continuously record, keep event windows, and drop the rest across a fleet of devices.
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
bagelHidden Gem
azure-ai-search-foundry-iq-live-knowledge-sources—
FAQ
FAQ
What is the difference between bagel and azure-ai-search-foundry-iq-live-knowledge-sources?
Both bagel and azure-ai-search-foundry-iq-live-knowledge-sources are in the RAG / Knowledge Base category. bagel has 400 stars, while azure-ai-search-foundry-iq-live-knowledge-sources has 17 stars.
Which is better, bagel or azure-ai-search-foundry-iq-live-knowledge-sources?
The best choice depends on your use case. Choose bagel if Summarizing metadata and analyzing sensor data from various robotics, drone, and IoT data formats (e.g., ROS, PX4, MQTT)., and azure-ai-search-foundry-iq-live-knowledge-sources if Evaluating Foundry IQ Live Knowledge Sources for managed organizations and conducting field demonstrations..
Is bagel free or open source?
Yes, bagel 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.
→