[ SearchQnA ] Refine documents (#1803)

Signed-off-by: WenjiaoYue <wenjiao.yue@intel.com>

SearchQnA/README_miscellaneous.md

@@ -0,0 +1,48 @@
+# SearchQnA Docker Image Build
+
+## Table of Contents
+
+1. [Build MegaService Docker Image](#build-megaservice-docker-image)
+2. [Build UI Docker Image](#build-ui-docker-image)
+3. [Generate a HuggingFace Access Token](#generate-a-huggingface-access-token)
+4. [Troubleshooting](#troubleshooting)
+
+## Build MegaService Docker Image
+
+To build the SearchQnA Megaservice, use the [GenAIExamples](https://github.com/opea-project/GenAIExamples.git) repository.
+Use the following command to build the Megaservice Docker image:
+
+```bash
+git clone https://github.com/opea-project/GenAIExamples.git
+cd GenAIExamples/SearchQnA
+docker build --no-cache -t opea/searchqna:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
+```
+
+## Build UI Docker Image
+
+Build frontend Docker image via below command:
+
+```bash
+cd GenAIExamples/SearchQnA/ui
+docker build -t opea/searchqna-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile .
+```
+
+## Generate a HuggingFace Access Token
+
+Some HuggingFace resources require an access token. Developers can create one by first signing up on [HuggingFace](https://huggingface.co/) and then generating a [user access token](https://huggingface.co/docs/transformers.js/en/guides/private#step-1-generating-a-user-access-token).
+
+## Troubleshooting
+
+1. If errors such as "Access Denied" occur, validate the [microservice](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/docker_compose/intel/cpu/xeon/README.md#validate-microservices) that is querying the embed API. A simple example:
+
+   ```bash
+   http_proxy=""
+   curl http://${host_ip}:3001/embed \
+       -X POST \
+       -d '{"inputs":"What is Deep Learning?"}' \
+       -H 'Content-Type: application/json'
+   ```
+
+2. (Docker only) If all microservices work well, check the port ${host_ip}:3008, the port might already be in use by another service, you can modify the `compose.yaml`.
+
+3. (Docker only) If you get errors like "The container name is in use", change container name in `compose.yaml`.