designer
3D tool to design roads and environments for autonomous vehicle testing
dstoolkit-text2sql-and-imageprocessing est un projet de RAG et connaissances open source, créé par microsoft (microsoft/dstoolkit-text2sql-and-imageprocessing sur GitHub). Il compte 105 étoiles sur GitHub et 22 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 1er octobre 2026.
Open rag & knowledge for this repo accelerates development of rag applications w.
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around ai for a focused workflow.
Built around azure for a focused workflow.
Built around entity relationship for a focused workflow.
Built around llm for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/microsoft/dstoolkit-text2sql-and-imageprocessing.gitSet up Python dependencies.
cd dstoolkit-text2sql-and-imageprocessing && pip install -r requirements.txtLaunch the application.
cd dstoolkit-text2sql-and-imageprocessing && python main.pyIt this repo accelerates development of RAG applications with rich data sources including SQL Warehouses and documents analysed with Azure Document Intelligence, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
3D tool to design roads and environments for autonomous vehicle testing
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...
Free rag & knowledge tool that 🥥 coco ai server - search, connect, collaborate, ai-pow.
Microsoft's graph-based RAG: index a corpus into a knowledge graph, then query it with an LLM
RAG for your monorepo: query, understand and edit multi-language codebases with a knowledge graph.
Les autres projets de la catégorie RAG et connaissances avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si dstoolkit-text2sql-and-imageprocessing ne vous convient pas.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Projets de la catégorie RAG et connaissances proches dans le catalogue, les plus proches en étoiles de dstoolkit-text2sql-and-imageprocessing — continuez à explorer de part et d'autre.
Self-hosted RAG search across GitHub, Drive, Notion, and local files.
Self-hosted rag & knowledge: turn your own pdf textbooks into an ai-searchable knowl.
Local AI-driven document search and editing with first-in-class hybrid retrieval
Open rag & knowledge for "autonomie" is a highly semantic, responsive, accessibl.
High-performance PDF conversion library for macOS apps.
Rag.computer — self-hostable rag platform - document ingestion, embedd, open-source.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.