txtai Semantic Search Examples
Notebook gallery for building semantic/vector search with txtai.
The examples index for txtai, the NeuML embeddings library. The semantic-search section is a notebook gallery: building embeddings indexes from Hugging Face datasets or your own data sources, adding semantic search to Elasticsearch, image+text similarity in one embedding space, custom SQL functions, model explainability, query translation, QA databases, semantic graphs, and BM25 topic modeling. There are parallel sections for LLM/RAG, pipelines, workflows, and model training. A practical catalog if you’re evaluating txtai against other RAG stacks.
Source: https://neuml.github.io/txtai/examples/#semantic-search