😎Universal database with embeddings

✅txtai is a universal database of embeddings designed for semantic search, orchestration of large language models (LLM), and management of machine learning workflows. This platform allows you to efficiently process and extract information, use semantic search for text search, and organize and automate tasks related to training and applying machine learning models.

Key features of txtai:

— Includes vector search using SQL, object storage, graph analysis, and multimodal indexing
— Supports embeddings for various data types, including text, documents, audio, images, and videos
— Allows you to build pipelines based on language models to perform various tasks, such as generating suggestions for LLM, answering questions, labeling data, transcription, translation, summarization, and more

🖥 GitHub
🟡 Documentation