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  • Use Cases

    Use Cases Semantic Search LLM Orchestration Chains Retrieval augmented generation Language Model Workflows Use Cases The following sections introduce common txtai use cases...
  • Home

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

    Home Home Build AI-powered semantic search applications txtai executes machine-learning workflows to transform data and build AI-powered semantic sear...
  • LLM

    LLM Example Configuration-driven example config.yml Run with Workflows Run with API Methods LLM The LLM pipeline runs prompts through a large language model (LLM). This...
  • Further Reading

    Further reading Further reading Introducing txtai, the all-in-one embeddings database Tutorial series on Hashnode | dev.to What’s new in txtai 6.0 | 5.0 | 4.0 Getting ...
  • Examples

    Examples Semantic Search LLM Pipelines Workflows Model Training Scale Architecture Releases Applications Examples See below for a comprehensive series of example not...
  • Methods

    Methods API (Application) add(self, documents) batchsearch(self, queries, limit=None) count(self) delete(self, ids) index(self) search(self, query, limit=None, request=N...
  • Methods

    Methods API (Application) add(self, documents) batchsearch(self, queries, limit=None) count(self) delete(self, ids) index(self) search(self, query, limit=None, request=N...
  • Examples

    Examples Semantic Search Pipelines Workflows Model Training Applications Examples The examples directory has a series of notebooks and applications giving an overview of...
  • Workflow

    Workflow Example Configuration-driven example LLM workflow example Methods More examples Workflow Workflows are a simple yet powerful construct that takes a callable and...