wehub-resource-sync
32 lines
1.0 KiB
Markdown
32 lines
1.0 KiB
Markdown
# Why txtai?
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New vector databases, LLM frameworks and everything in between are sprouting up daily. Why build with txtai?
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- Up and running in minutes with [pip](../install/) or [Docker](../cloud/)
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```python
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# Get started in a couple lines
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import txtai
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embeddings = txtai.Embeddings()
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embeddings.index(["Correct", "Not what we hoped"])
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embeddings.search("positive", 1)
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#[(0, 0.29862046241760254)]
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```
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- Built-in API makes it easy to develop applications using your programming language of choice
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```yaml
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# app.yml
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embeddings:
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path: sentence-transformers/all-MiniLM-L6-v2
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```
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```bash
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CONFIG=app.yml uvicorn "txtai.api:app"
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curl -X GET "http://localhost:8000/search?query=positive"
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```
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- Run local - no need to ship data off to disparate remote services
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- Work with micromodels all the way up to large language models (LLMs)
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- Low footprint - install additional dependencies and scale up when needed
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- [Learn by example](../examples) - notebooks cover all available functionality
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