example(add): document query example

examples/query_data/README.md

@@ -0,0 +1,49 @@
+# Data query example
+
+This example makes use of [Llama-Index](https://gpt-index.readthedocs.io/en/stable/getting_started/installation.html) to enable question answering on a set of documents.
+
+It loosely follows [the quickstart](https://gpt-index.readthedocs.io/en/stable/guides/primer/usage_pattern.html).
+
+## Requirements
+
+For this in order to work, you will need a model compatible with the `llama.cpp` backend. This is will not work with gpt4all.
+
+The example uses `WizardLM`. Edit the config files in `models/` accordingly to specify the model you use (change `HERE`).
+
+You will also need a training data set. Copy that over `data`.
+
+## Setup
+
+Start the API:
+
+```bash
+# Clone LocalAI
+git clone https://github.com/go-skynet/LocalAI
+
+cd LocalAI/examples/query_data
+
+# Copy your models, edit config files accordingly
+
+# start with docker-compose
+docker-compose up -d --build
+```
+
+### Create a storage:
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+python store.py
+```
+
+After it finishes, a directory "storage" will be created with the vector index database.
+
+## Query
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+python query.py
+```