ongdb-contrib / graph-qabot-demoLinks
Graph QABot Demo| 图谱问答案例
☆15Updated 2 years ago
Alternatives and similar repositories for graph-qabot-demo
Users that are interested in graph-qabot-demo are comparing it to the libraries listed below
Sorting:
- Integrating ONgDB database into langchain ecosystem☆76Updated 2 years ago
- ☆23Updated 2 years ago
- The LLM of NL2GQL with NebulaGraph or Neo4j☆97Updated last year
- llama信息抽取实战☆101Updated 2 years ago
- 打造人人都会的NLP,开源不易,记得star哦☆101Updated 2 years ago
- GoGPT中文指令数据集构造☆10Updated last year
- 通用版面分析 | 中文文档解析 |Document Layout Analysis | layout paser☆47Updated last year
- 骆驼QA,中文大语言阅读理解模型。☆75Updated 2 years ago
- Tracking the hot Github repos and update daily 每天自动追踪Github热门项目☆49Updated this week
- 支持ChatGLM2 lora微调☆41Updated 2 years ago
- TianGong-AI-Unstructure☆69Updated 2 months ago
- ChatGLM2-6B微调, SFT/LoRA, instruction finetune☆110Updated 2 years ago
- 使用qlora对中文大语言模型进行微调,包含ChatGLM、Chinese-LLaMA-Alpaca、BELLE☆89Updated 2 years ago
- use chatGLM to perform text embedding☆45Updated 2 years ago
- 中文原生检索增强生成测评基准☆123Updated last year
- deep training task☆30Updated 2 years ago
- 采用一个模型同时实现问题生成和答案生成☆29Updated 2 years ago
- 微调ChatGLM☆128Updated 2 years ago
- Use chatglm for financial knowledge extraction☆23Updated 2 years ago
- 基于sentence transformers和chatglm实现的文档搜索工具☆157Updated 2 years ago
- 大语言模型ChatGLM-6B为基座,接入文档阅读功能进行实时问答,可上传txt/docx/pdf多种文件类型。☆43Updated 2 years ago
- Python implementation of AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, w…☆48Updated 8 months ago
- 通用简单工具项目☆21Updated last year
- share data, prompt data , pretraining data☆36Updated 2 years ago
- ☆15Updated last year
- TechGPT 2.0: Technology-Oriented Generative Pretrained Transformer 2.0☆114Updated last year
- 基于 LoRA 和 P-Tuning v2 的 ChatGLM-6B 高效参数微调☆55Updated 2 years ago
- ChatGPT WebUI using gradio. 给 LLM 对话和检 索知识问答RAG提供一个简单好用的Web UI界面☆138Updated last year
- chatglm-6b微调/LORA/PPO/推理, 样本为自动生成的整数/小数加减乘除运算, 可gpu/cpu☆164Updated 2 years ago
- 本项目由三个模块构成。意图识别:判断用户的意图是业务型还是闲聊型;模型检索:该部分构建一个语料库,当用户 发起新的query(通过意图识别判断为业务型对话)时,为用户匹配query检索的最佳response,使用HSWN进行召回(粗排), 然后构建句子的相似度,并利用Lig…☆12Updated 4 years ago