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txtai

Dec 30, 2023 - neuml.github.io
Txtai is an all-in-one embeddings database designed for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases, enabling vector search with SQL, topic modeling, retrieval augmented generation, and more. It can function independently or serve as a knowledge source for large language model (LLM) prompts.

The features of txtai include vector search with SQL, creation of embeddings for various media types, pipelines powered by language models, workflows for aggregating business logic, and API bindings for multiple programming languages. It is built with Python 3.8+, Hugging Face Transformers, Sentence Transformers, and FastAPI, and is open-source under an Apache 2.0 license.

Key takeaways:

  • txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.
  • Embeddings databases can stand alone or serve as a powerful knowledge source for large language model (LLM) prompts.
  • txtai offers features like vector search with SQL, creating embeddings for various media types, pipelines powered by language models, and workflows to join pipelines together.
  • txtai is built with Python 3.8+, Hugging Face Transformers, Sentence Transformers and FastAPI, and is open-source under an Apache 2.0 license.
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