| --- |
| license: cc-by-4.0 |
| library_name: transformers |
| --- |
| # Pulsar-Knowledge-RAG |
| <!-- markdownlint-disable first-line-h1 --> |
| <!-- markdownlint-disable html --> |
| <!-- markdownlint-disable no-duplicate-header --> |
|
|
| <div align="center"> |
| <img src="figures/fig1.png" width="60%" alt="Pulsar-Knowledge-RAG" /> |
| </div> |
| <hr> |
|
|
| <div align="center" style="line-height: 1;"> |
| <a href="LICENSE" style="margin: 2px;"> |
| <img alt="License" src="figures/fig2.png" style="display: inline-block; vertical-align: middle;"/> |
| </a> |
| </div> |
| |
| ## 1. Introduction |
|
|
| Pulsar-Knowledge-RAG is tuned for retrieval-augmented question answering and grounded knowledge retrieval. |
|
|
| ## 2. Evaluation Results |
|
|
| ### Comprehensive Benchmark Results |
|
|
| <div align="center"> |
|
|
| | | Benchmark | Retriever-XL | Pulsar-lite | FactBase | Pulsar-Knowledge-RAG | |
| |---|---|---|---|---|---| |
| | **Core Reasoning Tasks** | Math Reasoning | 0.561 | 0.589 | 0.592 | 0.619 | |
| | | Logical Reasoning | 0.833 | 0.809 | 0.828 | 0.849 | |
| | | Common Sense | 0.755 | 0.770 | 0.724 | 0.776 | |
| | **Language Understanding** | Reading Comprehension | 0.725 | 0.704 | 0.699 | 0.750 | |
| | | Question Answering | 0.583 | 0.591 | 0.600 | 0.642 | |
| | | Text Classification | 0.814 | 0.830 | 0.806 | 0.848 | |
| | | Sentiment Analysis | 0.787 | 0.802 | 0.782 | 0.814 | |
| | **Generation Tasks** | Code Generation | 0.691 | 0.692 | 0.696 | 0.717 | |
| | | Creative Writing | 0.648 | 0.678 | 0.667 | 0.685 | |
| | | Dialogue Generation | 0.642 | 0.666 | 0.671 | 0.692 | |
| | | Summarization | 0.749 | 0.762 | 0.784 | 0.799 | |
| | **Specialized Capabilities** | Translation | 0.795 | 0.767 | 0.789 | 0.823 | |
| | | Knowledge Retrieval | 0.703 | 0.676 | 0.686 | 0.711 | |
| | | Instruction Following | 0.735 | 0.756 | 0.759 | 0.792 | |
| | | Safety Evaluation | 0.723 | 0.736 | 0.725 | 0.772 | |
|
|
| </div> |
|
|
| ### Overall Performance Summary |
| The Pulsar-Knowledge-RAG demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks. |
|
|
| ## 3. Chat Website & API Platform |
| We offer a chat interface and API for you to interact with Pulsar-Knowledge-RAG. Please check our official website for more details. |
|
|
| ## 4. How to Run Locally |
|
|
| Please refer to our code repository for more information about running Pulsar-Knowledge-RAG locally. |
|
|
| ### Temperature |
| We recommend setting the temperature parameter to 0.6. |
|
|
| ## 5. License |
| This repository is released under the cc-by-4.0 license. The model supports commercial use. |
|
|
| ## 6. Contact |
| If you have any questions, please contact us at rag@pulsar.systems. |
|
|
