jandres/GenAIExamples
1
0
Fork 0
Code Issues Pull Requests Actions 5 Packages Projects Releases Wiki Activity

Fix readme (#57)

Browse Source
This commit is contained in:
chen, suyue
2024-04-08 20:25:01 +08:00
committed by GitHub
parent 7436280061
commit ef1ef8c086
2 changed files with 2 additions and 9 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
ChatQnA/README.md
View File

@@ -113,13 +113,7 @@ curl 127.0.0.1:9090/embed \
Note: If you want to integrate the TEI service into the LangChain application, you'll need to restart the LangChain backend service after launching the TEI service.
## Launch Redis
```bash
docker compose -f langchain/docker/docker-compose-redis.yml up -d
```
## Launch LangChain Docker
## Launch Redis and LangChain Backend Service
Update the `HUGGINGFACEHUB_API_TOKEN` environment variable with your huggingface token in the `docker-compose.yml`

3
README.md
View File

@@ -2,7 +2,7 @@
# Intel Generative AI Examples
This project provides a collective list of Generative AI (GenAI) examples such as chatbot with question and answering (ChatQnA), code generation (CodeGen), document summary (DocSum), etc.
This project provides a collective list of Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) examples such as chatbot with question and answering (ChatQnA), code generation (CodeGen), document summary (DocSum), etc.
[![version](https://img.shields.io/badge/release-0.1-green)](https://github.com/intel/GenAIExamples/releases)
[![license](https://img.shields.io/badge/license-Apache%202-blue)](https://github.com/intel/neural-compressor/blob/master/LICENSE)
@@ -10,7 +10,6 @@ This project provides a collective list of Generative AI (GenAI) examples such a
---
<div align="left">
This project provides a collective list of Generative AI (GenAI) and RAG (Retrieval-Augmented Generation) examples such as chatbot with question and answering (ChatQnA), code generation, document summary, etc. The examples are developed by leveraging the ecosystem components such as LangChain with Intel optimizations, therefore delivering the high performance for your deployment on Intel platforms.
## GenAI Examples