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