.. 01_Introducing_txtai.ipynb 02_Build_an_Embeddings_index_with_Hugging_Face_Datasets.ipynb 03_Build_an_Embeddings_index_from_a_data_source.ipynb 04_Add_semantic_search_to_Elasticsearch.ipynb 05_Extractive_QA_with_txtai.ipynb 06_Extractive_QA_with_Elasticsearch.ipynb 07_Apply_labels_with_zero_shot_classification.ipynb 08_API_Gallery.ipynb 09_Building_abstractive_text_summaries.ipynb 10_Extract_text_from_documents.ipynb 11_Transcribe_audio_to_text.ipynb 12_Translate_text_between_languages.ipynb 13_Similarity_search_with_images.ipynb 14_Run_pipeline_workflows.ipynb 15_Distributed_embeddings_cluster.ipynb 16_Train_a_text_labeler.ipynb 17_Train_without_labels.ipynb 18_Export_and_run_models_with_ONNX.ipynb 19_Train_a_QA_model.ipynb 20_Extractive_QA_to_build_structured_data.ipynb 21_Export_and_run_other_machine_learning_models.ipynb 22_Transform_tabular_data_with_composable_workflows.ipynb 23_Tensor_workflows.ipynb 24_Whats_new_in_txtai_4_0.ipynb 25_Generate_image_captions_and_detect_objects.ipynb 26_Entity_extraction_workflows.ipynb 27_Workflow_scheduling.ipynb 28_Push_notifications_with_workflows.ipynb 29_Anatomy_of_a_txtai_index.ipynb 30_Embeddings_SQL_custom_functions.ipynb 31_Near_duplicate_image_detection.ipynb 32_Model_explainability.ipynb 33_Query_translation.ipynb 34_Build_a_QA_database.ipynb 35_Pictures_are_worth_a_thousand_words.ipynb 36_Run_txtai_in_native_code.ipynb 37_Embeddings_index_components.ipynb 38_Introducing_the_Semantic_Graph.ipynb 39_Classic_Topic_Modeling_with_BM25.ipynb 40_Text_to_Speech_Generation.ipynb 41_Train_a_language_model_from_scratch.ipynb 42_Prompt_driven_search_with_LLMs.ipynb 43_Embeddings_in_the_Cloud.ipynb 44_Prompt_templates_and_task_chains.ipynb 45_Customize_your_own_embeddings_database.ipynb 46_Whats_new_in_txtai_6_0.ipynb 47_Building_an_efficient_sparse_keyword_index_in_Python.ipynb 48_Benefits_of_hybrid_search.ipynb 49_External_database_integration.ipynb 50_All_about_vector_quantization.ipynb 51_Custom_API_Endpoints.ipynb 52_Build_RAG_pipelines_with_txtai.ipynb 53_Integrate_LLM_Frameworks.ipynb 54_API_Authorization_and_Authentication.ipynb 55_Generate_knowledge_with_Semantic_Graphs_and_RAG.ipynb 56_External_vectorization.ipynb 57_Build_knowledge_graphs_with_LLM_driven_entity_extraction.ipynb 58_Advanced_RAG_with_graph_path_traversal.ipynb 59_Whats_new_in_txtai_7_0.ipynb 60_Advanced_RAG_with_guided_generation.ipynb 61_Integrate_txtai_with_Postgres.ipynb 62_RAG_with_llama_cpp_and_external_API_services.ipynb 63_How_RAG_with_txtai_works.ipynb 64_Embeddings_index_format_for_open_data_access.ipynb 65_Speech_to_Speech_RAG.ipynb 66_Generative_Audio.ipynb 67_Whats_new_in_txtai_8_0.ipynb 68_Analyzing_Hugging_Face_Posts_with_Graphs_and_Agents.ipynb 69_Granting_autonomy_to_agents.ipynb 70_Getting_started_with_LLM_APIs.ipynb 71_Analyzing_LinkedIn_Company_Posts_with_Graphs_and_Agents.ipynb 72_Parsing_the_stars_with_txtai.ipynb 73_Chunking_your_data_for_RAG.ipynb 74_OpenAI_Compatible_API.ipynb 75_Medical_RAG_Research_with_txtai.ipynb 76_Whats_new_in_txtai_9_0.ipynb 77_GraphRAG_with_Wikipedia_and_GPT_OSS.ipynb 78_Accessing_Low_Level_Vector_APIs.ipynb 79_RAG_is_more_than_Vector_Search.ipynb 80_Distilling_Knowledge_into_Tiny_LLMs.ipynb 81_OpenCode_as_a_txtai_LLM.ipynb 82_Agentic_College_Search.ipynb 83_TxtAI_got_skills.ipynb 84_Agent_Tools.ipynb agent_quickstart.py article.py baseball.py benchmarks.py books.py images.py rag_quickstart.py similarity.py wiki.py workflow_quickstart.py workflows.py