Design
designer
3D tool to design roads and environments for autonomous vehicle testing
★ 148 estrelasCustom
Ver o guia →LibreAI / RAG e conhecimento / dstoolkit-text2sql-and-imageprocessing
// rag · microsoft/dstoolkit-text2sql-and-imageprocessing
dstoolkit-text2sql-and-imageprocessing
dstoolkit-text2sql-and-imageprocessing é um projeto de RAG e conhecimento de código aberto de microsoft (microsoft/dstoolkit-text2sql-and-imageprocessing no GitHub). Tem 105 estrelas no GitHub e 22 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 1 de outubro de 2026.
Open rag & knowledge for this repo accelerates development of rag applications w.
💎 Joia escondida★ 105 estrelas⑂ 22 forksMITatualizado out 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto
Dados do projeto
- Estrelas no GitHub
- 105
- Forks
- 22
- Licença
- MIT
- Última atualização no GitHub
- 1 de outubro de 2026
- Categoria
- RAG e conhecimento
- Tipo de ficha
- Joia escondida: uma página mais breve para um projeto menos conhecido
- Site oficial
- Official site
// como funciona
Como funciona
- Clone the repository
Fetch the source code onto your machine.
- Install dependencies
Set up the Python environment the project needs.
- Configure the project
Copy the sample config or env file and adjust it.
- Run it
Start the app from the source directory.
// recursos
Por que as pessoas gostam tanto
Ai
Built around ai for a focused workflow.
Azure
Built around azure for a focused workflow.
Entity Relationship
Built around entity relationship for a focused workflow.
Llm
Built around llm for a focused workflow.
Open source
Inspect, fork, and modify every line of the code.
Self-hosted
Run it on your own machine — no account lock-in.
Advertisement
// execute você mesmo
Execute você mesmo
- Clone
Get the source on your machine.
git clone https://github.com/microsoft/dstoolkit-text2sql-and-imageprocessing.git - Install
Set up Python dependencies.
cd dstoolkit-text2sql-and-imageprocessing && pip install -r requirements.txt - Start
Launch the application.
cd dstoolkit-text2sql-and-imageprocessing && python main.py
// casos de uso
O que você pode criar
- Forking and customizing for your own needs
- Prototyping ideas quickly from working code
- Self-hosting instead of paying for SaaS
- Integrating into a larger personal stack
Advertisement
// perguntas frequentes
Perguntas frequentes
What does dstoolkit-text2sql-and-imageprocessing do?
It 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.
Is dstoolkit-text2sql-and-imageprocessing free to use?
Yes — the code is open-source, so you can use and modify it without a license fee.
How do I install dstoolkit-text2sql-and-imageprocessing?
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
What is dstoolkit-text2sql-and-imageprocessing written in?
It is primarily written in Python, so you will need that toolchain to build or extend it.
Where can I get help with dstoolkit-text2sql-and-imageprocessing?
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
// continue explorando
Ferramentas semelhantes
Áudio
EmotiVoice
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
★ 8,5 mil estrelasApache-2.0
Ver o guia →Áudio
Faster-Whisper-XXL-GUI
Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...
★ 129 estrelasGPL-3.0
Ver o guia →RAG e conhecimento
coco-server
Free rag & knowledge tool that 🥥 coco ai server - search, connect, collaborate, ai-pow.
★ 147 estrelasNOASSERTION
Ver o guia →RAG e conhecimento
graphrag
Microsoft's graph-based RAG: index a corpus into a knowledge graph, then query it with an LLM
★ 36,3 mil estrelasMIT
Ver o guia →RAG e conhecimento
code-graph-rag
RAG for your monorepo: query, understand and edit multi-language codebases with a knowledge graph.
★ 5,2 mil estrelasMIT
Ver o guia →// alternativas
Alternativas em RAG e conhecimento
Os outros projetos de RAG e conhecimento com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se dstoolkit-text2sql-and-imageprocessing não for o ideal para você.
- MarkItDown★ 193,5 mil
MarkItDown — Microsoft tool that converts PDFs, Office files, images and more to clean Markdown for LLMs, MIT
- Dify★ 157,8 mil
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
- ragflow★ 91,6 mil
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
- PaddleOCR★ 90,8 mil
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
- MinerU★ 82,5 mil
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
// mais em rag
Mais em RAG e conhecimento
Projetos de RAG e conhecimento próximos no catálogo, os mais próximos em estrelas de dstoolkit-text2sql-and-imageprocessing: continue explorando dos dois lados dele.
- OpenDocuments★ 115
Self-hosted RAG search across GitHub, Drive, Notion, and local files.
- textbook-to-note★ 104
Self-hosted rag & knowledge: turn your own pdf textbooks into an ai-searchable knowl.
- gno★ 115
Local AI-driven document search and editing with first-in-class hybrid retrieval
- autonomie★ 103
Open rag & knowledge for "autonomie" is a highly semantic, responsive, accessibl.
- compdfkit-conversion-sdk-mac★ 115
High-performance PDF conversion library for macOS apps.
- rag.computer★ 100
Rag.computer — self-hostable rag platform - document ingestion, embedd, open-source.
Baixe o dstoolkit-text2sql-and-imageprocessing
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.