ποΈ SMMF
Service-oriented Multi-model Management Framework(SMMF)
ποΈ MS-RAG
Multi-Source Enhanced Retrieval-Augmented Generation Framework(MS-RAG)
ποΈ DD-Agents
Data Driven Multi-Agents(DD-Agents)
ποΈ Fine-Tuning
Text2SQL and Text2API(DSL) fine-tune to enhance model performance.
ποΈ Evaluation
Model effect and framework performance evaluation.
ποΈ Connections
The connections module supports connecting to various structured, semi-structured, and unstructured data storage engines. Bring multi-dimensional data into the framework and realize the interaction between natural language and multi-dimensional data
ποΈ Visualization
DB-GPT provides rich visualization capabilities, which are developed independently as reusable modules in the GPT-Vis project
ποΈ Ant Group Data Retrieval Benchmark Dataset Guide
For Text2SQL tasks, we provide a dataset benchmarking capability. It evaluates different large language models (LLMs) and agents on Text2SQL, covering syntax correctness, semantic accuracy, and execution validity. It outputs metrics such as executability rate and accuracy rate, and provides an evaluation report.