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Why txtai?

why why

New vector databases, LLM frameworks and everything in between are sprouting up daily. Why build with txtai?

  • Up and running in minutes with pip or Docker 
    # Get started in a couple lines
import txtai

embeddings = txtai.Embeddings()
embeddings.index(["Correct", "Not what we hoped"])
embeddings.search("positive", 1)
#[(0, 0.29862046241760254)]
  • Built-in API makes it easy to develop applications using your programming language of choice 
    # app.yml
embeddings:
    path: sentence-transformers/all-MiniLM-L6-v2

    CONFIG=app.yml uvicorn "txtai.api:app"
curl -X GET "http://localhost:8000/search?query=positive"
  • Run local - no need to ship data off to disparate remote services
  • Work with micromodels all the way up to large language models (LLMs)
  • Low footprint - install additional dependencies and scale up when needed
  • Learn by example - notebooks cover all available functionality