Jan. 29, 2024, 11:12 p.m. | David Mezzetti

DEV Community dev.to

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.


Vectorization is the process of transforming data into numbers using machine learning models. Input data is run through a model and fixed dimension vectors are returned. These vectors can then be loaded into a vector database for similarity search.


txtai is an open-source first system. Given it's own open-source roots, like-minded projects such as sentence-transformers are prioritized during development. But that doesn't mean txtai can't …

data database embeddings language language model llm machine machine learning machinelearning machine learning models nlp numbers orchestration process python search semantic through vector vector database vectorization vectors workflows

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

C003549 Data Analyst (NS) - MON 13 May

@ EMW, Inc. | Braine-l'Alleud, Wallonia, Belgium

Marketing Decision Scientist

@ Meta | Menlo Park, CA | New York City