🔥 DB-GPT v0.7.2 is here — What’s new at a glance
🍀 Enhanced Dashboard with new visual components: pie charts, tables, bar charts, and more
🍀 Hybrid search now supported in Knowledge Base
🍀 New Chat Data template added
🍀 Hierarchical retrieval for unstructured document trees
🍀 Support for Qwen3 MOE
🍀 Integration with GLM4-z1 (llama.cpp)
🍀 Now supports DeepSeek-R1-0528
🍀 Now supports MiniCPM-4 8B
🍀 Now supports Qwen2.5 VL series
13 bug fixes, 5 page and documentation updates
To learn what's new, check out the docs:[https://t.co/IlwTioHKzY]
Turn your data into actionable insights with dashboards, trend analysis and predictive modeling.
DB-GPT is perfect for organizations and researchers committed to data-driven decision making.
🔥 DB-GPT v0.7.2 is here — What’s new at a glance
🍀 Enhanced Dashboard with new visual components: pie charts, tables, bar charts, and more
🍀 Hybrid search now supported in Knowledge Base
🍀 New Chat Data template added
🍀 Hierarchical retrieval for unstructured document trees
🍀 Support for Qwen3 MOE
🍀 Integration with GLM4-z1 (llama.cpp)
🍀 Now supports DeepSeek-R1-0528
🍀 Now supports MiniCPM-4 8B
🍀 Now supports Qwen2.5 VL series
13 bug fixes, 5 page and documentation updates
To learn what's new, check out the docs:[https://t.co/IlwTioHKzY]
@elonmusk There's no denying that AI-generated videos have brought great convenience to the film and gaming industries.
Perhaps in the future, the combination of real-time AI video generation and data analysis could give rise to a new kind of data expert.
For most people, using ChatGPT is simply about casual conversations or getting answers to basic questions.
However, when used more deeply, it becomes clear that large language models often fall short when handling domain-specific or highly technical topics.
They may even provide inaccurate or entirely fabricated responses — and this isn’t unique to GPT; it applies to all current models.
Since the majority of users aren’t researchers or academic experts, GPT-5’s performance may actually better align with what most people expect.
Vector databases and agents are becoming key pillars of AI data infrastructure.
DB-GPT is building enterprise-ready AI-native data workflows, featuring:
Unified multi-model management
Practical RAG optimization
Automated knowledge extraction and QA
If you're working on intelligent Q&A systems, data platforms, AI agents, or GBI
you might want to take a closer look at this open-source project.
👉 https://t.co/XeRS56B8px
#LLMops #DataInfra #RAG #AIworkflow
With AI-assisted advances making autonomous ride services safer and more reliable, intelligent systems are reshaping every industry. At DB-GPT, we’re applying that same spirit of innovation to database management. We believe AI will reshape every layer of the tech stack—starting with databases.
#AI #Tesla #waymo
🔥We've released the final installment of our DB-GPT Application Competency Series vide.o, DB-GPT's Chat With Financial Report
🔗Link: <https://t.co/dMkH7uMPge>
#DBGPT#Fintech#businessintelligence
We have released the sixth installment of the DB-GPT Application Competency Series.
You can learn about DB-GPT's intelligent report generation and analysis capabilities from this video.
Watch link: [https://t.co/AplPPi8ruM]