Explain Default Model in ChatQnA and CodeTrans READMEs (#694)

* explain default model in CodeTrans READMEs

Signed-off-by: letonghan <letong.han@intel.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* explain default model in ChatQnA READMEs

Signed-off-by: letonghan <letong.han@intel.com>

* add required models

Signed-off-by: letonghan <letong.han@intel.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Signed-off-by: letonghan <letong.han@intel.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ChatQnA/README.md

@@ -121,6 +121,18 @@ Currently we support two ways of deploying ChatQnA services with docker compose:
 
 2. Start services using the docker images `built from source`: [Guide](./docker)
 
+### Required Models
+
+By default, the embedding, reranking and LLM models are set to a default value as listed below:
+
+| Service   | Model                     |
+| --------- | ------------------------- |
+| Embedding | BAAI/bge-base-en-v1.5     |
+| Reranking | BAAI/bge-reranker-base    |
+| LLM       | Intel/neural-chat-7b-v3-3 |
+
+Change the `xxx_MODEL_ID` in `docker/xxx/set_env.sh` for your needs.
+
 ### Setup Environment Variable
 
 To set up environment variables for deploying ChatQnA services, follow these steps:

ChatQnA/docker/gaudi/README.md

@@ -159,6 +159,18 @@ If Guardrails docker image is built, you will find one more image:
 
 ## 🚀 Start MicroServices and MegaService
 
+### Required Models
+
+By default, the embedding, reranking and LLM models are set to a default value as listed below:
+
+| Service   | Model                     |
+| --------- | ------------------------- |
+| Embedding | BAAI/bge-base-en-v1.5     |
+| Reranking | BAAI/bge-reranker-base    |
+| LLM       | Intel/neural-chat-7b-v3-3 |
+
+Change the `xxx_MODEL_ID` below for your needs.
+
 ### Setup Environment Variables
 
 Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below.

ChatQnA/docker/gpu/README.md

@@ -87,6 +87,18 @@ Then run the command `docker images`, you will have the following 7 Docker Image
 
 ## 🚀 Start MicroServices and MegaService
 
+### Required Models
+
+By default, the embedding, reranking and LLM models are set to a default value as listed below:
+
+| Service   | Model                     |
+| --------- | ------------------------- |
+| Embedding | BAAI/bge-base-en-v1.5     |
+| Reranking | BAAI/bge-reranker-base    |
+| LLM       | Intel/neural-chat-7b-v3-3 |
+
+Change the `xxx_MODEL_ID` below for your needs.
+
 ### Setup Environment Variables
 
 Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below.

ChatQnA/docker/xeon/README.md

@@ -161,6 +161,18 @@ Then run the command `docker images`, you will have the following 7 Docker Image
 
 ## 🚀 Start Microservices
 
+### Required Models
+
+By default, the embedding, reranking and LLM models are set to a default value as listed below:
+
+| Service   | Model                     |
+| --------- | ------------------------- |
+| Embedding | BAAI/bge-base-en-v1.5     |
+| Reranking | BAAI/bge-reranker-base    |
+| LLM       | Intel/neural-chat-7b-v3-3 |
+
+Change the `xxx_MODEL_ID` below for your needs.
+
 ### Setup Environment Variables
 
 Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below.
@@ -183,7 +195,7 @@ export your_hf_api_token="Your_Huggingface_API_Token"
 
 **Append the value of the public IP address to the no_proxy list**
 
-```
+```bash
 export your_no_proxy=${your_no_proxy},"External_Public_IP"
 ```
 

ChatQnA/docker/xeon/README_qdrant.md

@@ -148,6 +148,18 @@ Then run the command `docker images`, you will have the following 7 Docker Image
 
 ## 🚀 Start Microservices
 
+### Required Models
+
+By default, the embedding, reranking and LLM models are set to a default value as listed below:
+
+| Service   | Model                     |
+| --------- | ------------------------- |
+| Embedding | BAAI/bge-base-en-v1.5     |
+| Reranking | BAAI/bge-reranker-base    |
+| LLM       | Intel/neural-chat-7b-v3-3 |
+
+Change the `xxx_MODEL_ID` below for your needs.
+
 ### Setup Environment Variables
 
 Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below.

CodeTrans/README.md

@@ -22,6 +22,16 @@ Currently we support two ways of deploying Code Translation services on docker:
 
 2. Start services using the docker images `built from source`: [Guide](./docker)
 
+### Required Models
+
+By default, the LLM model is set to a default value as listed below:
+
+| Service | Model                         |
+| ------- | ----------------------------- |
+| LLM     | HuggingFaceH4/mistral-7b-grok |
+
+Change the `LLM_MODEL_ID` in `docker/set_env.sh` for your needs.
+
 ### Setup Environment Variable
 
 To set up environment variables for deploying Code Translation services, follow these steps:

CodeTrans/docker/gaudi/README.md

@@ -42,9 +42,17 @@ Then run the command `docker images`, you will have the following Docker Images:
 
 ## 🚀 Start Microservices
 
-### Setup Environment Variables
+### Required Models
 
-Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below. Notice that the `LLM_MODEL_ID` indicates the LLM model used for TGI service.
+By default, the LLM model is set to a default value as listed below:
+
+| Service | Model                         |
+| ------- | ----------------------------- |
+| LLM     | HuggingFaceH4/mistral-7b-grok |
+
+Change the `LLM_MODEL_ID` below for your needs.
+
+### Setup Environment Variables
 
 ```bash
 export no_proxy=${your_no_proxy}

CodeTrans/docker/xeon/README.md

@@ -50,9 +50,17 @@ Then run the command `docker images`, you will have the following Docker Images:
 
 ## 🚀 Start Microservices
 
-### Setup Environment Variables
+### Required Models
 
-Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below. Notice that the `LLM_MODEL_ID` indicates the LLM model used for TGI service.
+By default, the LLM model is set to a default value as listed below:
+
+| Service | Model                         |
+| ------- | ----------------------------- |
+| LLM     | HuggingFaceH4/mistral-7b-grok |
+
+Change the `LLM_MODEL_ID` below for your needs.
+
+### Setup Environment Variables
 
 ```bash
 export no_proxy=${your_no_proxy}

CodeTrans/kubernetes/README.md

@@ -7,9 +7,20 @@ Please install GMC in your Kubernetes cluster, if you have not already done so,
 If you have only Intel Xeon machines you could use the codetrans_xeon.yaml file or if you have a Gaudi cluster you could use codetrans_gaudi.yaml
 In the below example we illustrate on Xeon.
 
+## Required Models
+
+By default, the LLM model is set to a default value as listed below:
+
+|Service  |Model                    |
+|---------|-------------------------|
+|LLM      |HuggingFaceH4/mistral-7b-grok|
+
+Change the `MODEL_ID` in `codetrans_xeon.yaml` for your needs.
+
 ## Deploy the RAG application
 
 1. Create the desired namespace if it does not already exist and deploy the application
+
    ```bash
    export APP_NAMESPACE=CT
    kubectl create ns $APP_NAMESPACE

CodeTrans/kubernetes/manifests/README.md

@@ -8,6 +8,16 @@
 
 > You need to make sure you have created the directory `/mnt/opea-models` to save the cached model on the node where the CodeTrans workload is running. Otherwise, you need to modify the `codetrans.yaml` file to change the `model-volume` to a directory that exists on the node.
 
+## Required Models
+
+By default, the LLM model is set to a default value as listed below:
+
+|Service  |Model                    |
+|---------|-------------------------|
+|LLM      |HuggingFaceH4/mistral-7b-grok|
+
+Change the `MODEL_ID` in `codetrans.yaml` for your needs.
+
 ## Deploy On Xeon
 
 ```bash