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# yaml-language-server: $schema=./.github/registry_schema.json
# This file is used to generate cookbook.openai.com. It specifies which paths we
# should build pages for, and indicates metadata such as tags, creation date and
# authors for each page.
- title: Using logprobs
path: examples/Using_logprobs.ipynb
date: 2023-12-20
authors:
- jhills20
- shyamal-anadkat
tags:
- completions
- title: Creating slides with the Assistants API and DALL·E 3
path: examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb
date: 2023-12-08
authors:
- jhills20
tags:
- assistants
- dall-e
- title: Data preparation and analysis for chat model fine-tuning
path: examples/Chat_finetuning_data_prep.ipynb
date: 2023-08-22
authors:
- mwu1993
- simonpfish
tags:
- completions
- tiktoken
- title: Classification using embeddings
path: examples/Classification_using_embeddings.ipynb
date: 2022-07-11
authors:
- ted-at-openai
- logankilpatrick
tags:
- embeddings
- title: Clustering
path: examples/Clustering.ipynb
date: 2022-03-10
authors:
- BorisPower
- ted-at-openai
- logankilpatrick
tags:
- embeddings
- title: Clustering for transaction classification
path: examples/Clustering_for_transaction_classification.ipynb
date: 2022-10-20
authors:
- colin-jarvis
- ted-at-openai
tags:
- embeddings
- completions
- title: Code search using embeddings
path: examples/Code_search_using_embeddings.ipynb
date: 2022-03-10
authors:
- BorisPower
- logankilpatrick
- eli64s
tags:
- embeddings
- title: Customizing embeddings
path: examples/Customizing_embeddings.ipynb
date: 2022-03-10
authors:
- ted-at-openai
- BorisPower
tags:
- embeddings
- title: Embedding Wikipedia articles for search
path: examples/Embedding_Wikipedia_articles_for_search.ipynb
date: 2023-04-14
authors:
- ted-at-openai
tags:
- embeddings
- completions
- title: Embedding texts that are longer than the model's maximum context length
path: examples/Embedding_long_inputs.ipynb
date: 2023-01-18
authors:
- filipeabperes
tags:
- embeddings
- tiktoken
- title: Long document content extraction
path: examples/Entity_extraction_for_long_documents.ipynb
date: 2023-02-20
authors:
- colin-openai
tags:
- completions
- title: Fine tuning classification example
path: examples/Fine-tuned_classification.ipynb
date: 2022-03-10
authors:
- BorisPower
tags:
- completions
- title: >-
Function calling for nearby places: Leveraging the Google Places API and
customer profiles
path: examples/Function_calling_finding_nearby_places.ipynb
date: 2023-08-11
authors:
- prestontuggle
tags:
- completions
- functions
- title: Using embeddings
path: examples/Using_embeddings.ipynb
date: 2022-03-10
authors:
- BorisPower
- ted-at-openai
- logankilpatrick
- jbeutler-openai
tags:
- embeddings
- title: How to build a tool-using agent with LangChain
path: examples/How_to_build_a_tool-using_agent_with_Langchain.ipynb
date: 2023-05-02
authors:
- colin-openai
tags:
- completions
- embeddings
- title: How to use functions with a knowledge base
path: examples/How_to_call_functions_for_knowledge_retrieval.ipynb
date: 2023-06-14
authors:
- colin-openai
tags:
- completions
- functions
- title: How to call functions with chat models
path: examples/How_to_call_functions_with_chat_models.ipynb
date: 2023-06-13
authors:
- colin-openai
- joe-at-openai
tags:
- completions
- functions
- title: How to count tokens with Tiktoken
path: examples/How_to_count_tokens_with_tiktoken.ipynb
date: 2022-12-16
authors:
- ted-at-openai
tags:
- tiktoken
- completions
- title: How to fine-tune chat models
path: examples/How_to_finetune_chat_models.ipynb
date: 2023-08-22
authors:
- simonpfish
tags:
- completions
- title: How to format inputs to ChatGPT models
path: examples/How_to_format_inputs_to_ChatGPT_models.ipynb
date: 2023-03-01
authors:
- ted-at-openai
tags:
- completions
- tiktoken
- title: How to handle rate limits
path: examples/How_to_handle_rate_limits.ipynb
date: 2022-09-10
authors:
- ted-at-openai
tags:
- completions
- embeddings
- title: How to stream completions
path: examples/How_to_stream_completions.ipynb
date: 2022-09-02
authors:
- ted-at-openai
tags:
- completions
- tiktoken
- title: Multiclass Classification for Transactions
path: examples/Multiclass_classification_for_transactions.ipynb
date: 2022-10-20
authors:
- colin-jarvis
tags:
- embeddings
- completions
- title: Get embeddings from dataset
path: examples/Get_embeddings_from_dataset.ipynb
date: 2022-03-10
authors:
- BorisPower
- ted-at-openai
tags:
- embeddings
- title: Question answering using a search API and re-ranking
path: examples/Question_answering_using_a_search_API.ipynb
date: 2023-06-16
authors:
- simonpfish
- ted-at-openai
tags:
- embeddings
- completions
- title: Question answering using embeddings-based search
path: examples/Question_answering_using_embeddings.ipynb
date: 2022-06-10
authors:
- ted-at-openai
- MikeHeaton
tags:
- embeddings
- completions
- title: Recommendation using embeddings and nearest neighbor search
path: examples/Recommendation_using_embeddings.ipynb
date: 2022-03-10
authors:
- ted-at-openai
- BorisPower
- logankilpatrick
tags:
- embeddings
- title: Regression using the embeddings
path: examples/Regression_using_embeddings.ipynb
date: 2022-03-10
authors:
- BorisPower
- ted-at-openai
- logankilpatrick
tags:
- embeddings
- title: Search reranking with cross-encoders
path: examples/Search_reranking_with_cross-encoders.ipynb
date: 2023-06-28
authors:
- colin-openai
tags:
- embeddings
- completions
- title: Semantic text search using embeddings
path: examples/Semantic_text_search_using_embeddings.ipynb
date: 2022-03-10
authors:
- BorisPower
- ted-at-openai
- logankilpatrick
tags:
- embeddings
- title: Unit test writing using a multi-step prompt
path: examples/Unit_test_writing_using_a_multi-step_prompt.ipynb
date: 2022-11-15
authors:
- ted-at-openai
tags:
- completions
- title: Unit test writing using a multi-step prompt with legacy Completions
path: >-
examples/Unit_test_writing_using_a_multi-step_prompt_with_older_completions_API.ipynb
date: 2023-05-19
authors:
- ted-at-openai
tags:
- completions
- title: User and product embeddings
path: examples/User_and_product_embeddings.ipynb
date: 2022-03-10
authors:
- BorisPower
tags:
- embeddings
- title: Visualizing the embeddings in 2D
path: examples/Visualizing_embeddings_in_2D.ipynb
date: 2022-03-10
authors:
- BorisPower
- ted-at-openai
tags:
- embeddings
- title: Visualizing embeddings in 3D
path: examples/Visualizing_embeddings_in_3D.ipynb
date: 2022-03-10
authors:
- BorisPower
- ted-at-openai
tags:
- embeddings
- title: Visualizing embeddings in Weights and Biases
path: examples/third_party/Visualizing_embeddings_in_wandb.ipynb
date: 2023-02-01
authors:
- scottire
tags:
- embeddings
- title: Visualizing embeddings in Atlas
path: examples/third_party/Visualizing_embeddings_with_Atlas.ipynb
date: 2023-03-28
authors:
- AndriyMulyar
- TDulka
tags:
- embeddings
- title: "Addressing transcription misspellings: prompt vs post-processing"
path: examples/Whisper_correct_misspelling.ipynb
date: 2023-08-11
authors:
- prestontuggle
tags:
- whisper
- completions
- title: "Enhancing Whisper transcriptions: pre- & post-processing techniques"
path: examples/Whisper_processing_guide.ipynb
date: 2023-08-11
authors:
- prestontuggle
tags:
- whisper
- title: Whisper prompting guide
path: examples/Whisper_prompting_guide.ipynb
date: 2023-06-27
authors:
- prestontuggle
tags:
- whisper
- completions
- title: Zero-shot classification with embeddings
path: examples/Zero-shot_classification_with_embeddings.ipynb
date: 2022-03-10
authors:
- BorisPower
- ted-at-openai
- logankilpatrick
tags:
- embeddings
- title: Azure DALL·E image generation example
path: examples/azure/DALL-E.ipynb
date: 2023-06-12
authors:
- glecaros
tags:
- dall-e
- title: Azure Chat Completions example (preview)
path: examples/azure/chat.ipynb
date: 2023-03-28
authors:
- cmurtz-msft
- glecaros
- kristapratico
tags:
- completions
- title: Azure Chat Completion models with your own data (preview)
path: examples/azure/chat_with_your_own_data.ipynb
date: 2023-09-11
authors:
- kristapratico
tags:
- completions
- title: Azure completions example
path: examples/azure/completions.ipynb
date: 2022-12-16
authors:
- cmurtz-msft
- glecaros
- kristapratico
tags:
- embeddings
- completions
- title: Azure embeddings example
path: examples/azure/embeddings.ipynb
date: 2022-07-12
authors:
- ted-at-openai
- cmurtz-msft
- glecaros
- kristapratico
tags:
- embeddings
- title: Azure functions example
path: examples/azure/functions.ipynb
date: 2023-07-21
authors:
- kristapratico
tags:
- completions
- functions
- title: Translate a book writen in LaTeX from Slovenian into English
path: examples/book_translation/translate_latex_book.ipynb
date: 2022-03-10
authors:
- BorisPower
tags:
- completions
- tiktoken
- title: How to create dynamic masks with DALL·E and Segment Anything
path: >-
examples/dalle/How_to_create_dynamic_masks_with_DALL-E_and_Segment_Anything.ipynb
date: 2023-05-19
authors:
- colin-openai
tags:
- dall-e
- title: How to use the DALL·E API
path: examples/dalle/Image_generations_edits_and_variations_with_DALL-E.ipynb
date: 2022-11-04
authors:
- ted-at-openai
tags:
- dall-e
- title: How to evaluate a summarization task
path: examples/evaluation/How_to_eval_abstractive_summarization.ipynb
date: 2023-08-16
authors:
- shyamal-anadkat
- simonpfish
tags:
- embeddings
- completions
- title: Fine-Tuned Q&A - collect data
path: examples/fine-tuned_qa/olympics-1-collect-data.ipynb
date: 2022-03-10
authors:
- ted-at-openai
- BorisPower
tags:
- embeddings
- completions
- title: Fine-Tuned Q&A - create Q&A
path: examples/fine-tuned_qa/olympics-2-create-qa.ipynb
date: 2022-03-10
authors:
- ted-at-openai
- BorisPower
tags:
- embeddings
- completions
- title: Fine-Tuned Q&A - train
path: examples/fine-tuned_qa/olympics-3-train-qa.ipynb
date: 2022-03-10
authors:
- ted-at-openai
- BorisPower
tags:
- completions
- embeddings
- title: Visualizing the embeddings in Kangas
path: examples/third_party/Visualizing_embeddings_in_Kangas.ipynb
date: 2023-07-11
authors:
- dsblank
tags:
- embeddings
- title: Financial document analysis with LlamaIndex
path: >-
examples/third_party/financial_document_analysis_with_llamaindex.ipynb
date: 2023-06-22
authors:
- Disiok
tags:
- embeddings
- completions
- title: Vector databases
path: examples/vector_databases/README.md
date: 2023-06-28
authors:
- colin-openai
- moizsajid
tags:
- embeddings
- title: Using PolarDB-PG as a vector database for OpenAI embeddings
path: >-
examples/vector_databases/PolarDB/Getting_started_with_PolarDB_and_OpenAI.ipynb
date: 2023-07-11
authors:
- liuchengshan-lcs
tags:
- embeddings
- title: Semantic search with SingleStoreDB
path: >-
examples/vector_databases/SingleStoreDB/OpenAI_wikipedia_semantic_search.ipynb
date: 2023-05-22
authors:
- arno756
tags:
- completions
- embeddings
- title: SingleStoreDB
path: examples/vector_databases/SingleStoreDB/README.md
date: 2023-05-22
authors:
- arno756
tags:
- embeddings
- completions
- title: Using AnalyticDB as a vector database for OpenAI embeddings
path: >-
examples/vector_databases/analyticdb/Getting_started_with_AnalyticDB_and_OpenAI.ipynb
date: 2023-04-06
authors:
- wangxuqi
tags:
- embeddings
- title: Question answering with Langchain, AnalyticDB and OpenAI
path: >-
examples/vector_databases/analyticdb/QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb
date: 2023-05-05
authors:
- wangxuqi
tags:
- embeddings
- tiktoken
- title: Azure AI Search as a vector database for OpenAI embeddings
path: >-
examples/vector_databases/azuresearch/Getting_started_with_azure_ai_search_and_openai.ipynb
date: 2023-09-11
authors:
- farzad528
tags:
- embeddings
- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB
path: examples/vector_databases/cassandra_astradb/Philosophical_Quotes_CQL.ipynb
date: 2023-08-29
authors:
- hemidactylus
tags:
- embeddings
- completions
- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB
path: >-
examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
date: 2023-08-29
authors:
- hemidactylus
tags:
- embeddings
- completions
- title: Cassandra / Astra DB
path: examples/vector_databases/cassandra_astradb/README.md
date: 2023-08-29
authors:
- hemidactylus
tags:
- embeddings
- title: Using Chroma for embeddings search
path: examples/vector_databases/chroma/Using_Chroma_for_embeddings_search.ipynb
date: 2023-06-28
authors:
- colin-openai
- atroyn
tags:
- embeddings
- title: Robust question answering with Chroma and OpenAI
path: examples/vector_databases/chroma/hyde-with-chroma-and-openai.ipynb
date: 2023-04-06
authors:
- atroyn
tags:
- embeddings
- completions
- title: Elasticsearch
path: examples/vector_databases/elasticsearch/README.md
date: 2023-08-29
authors:
- leemthompo
tags:
- embeddings
- completions
- title: Retrieval augmented generation using Elasticsearch and OpenAI
path: >-
examples/vector_databases/elasticsearch/elasticsearch-retrieval-augmented-generation.ipynb
date: 2023-08-29
authors:
- leemthompo
tags:
- embeddings
- completions
- title: Semantic search using Elasticsearch and OpenAI
path: examples/vector_databases/elasticsearch/elasticsearch-semantic-search.ipynb
date: 2023-08-29
authors:
- leemthompo
tags:
- embeddings
- completions
- title: Using Hologres as a vector database for OpenAI embeddings
path: >-
examples/vector_databases/hologres/Getting_started_with_Hologres_and_OpenAI.ipynb
date: 2023-05-19
authors:
- zcgeng
tags:
- embeddings
- title: Kusto as a vector database for embeddings
path: >-
examples/vector_databases/kusto/Getting_started_with_kusto_and_openai_embeddings.ipynb
date: 2023-05-10
authors:
- Anshul Sharma
tags:
- embeddings
- title: Kusto as a vector database
path: examples/vector_databases/kusto/README.md
date: 2023-05-10
authors:
- Anshul Sharma
tags:
- embeddings
- title: Filtered search with Milvus and OpenAI
path: >-
examples/vector_databases/milvus/Filtered_search_with_Milvus_and_OpenAI.ipynb
date: 2023-03-28
authors:
- filip-halt
tags:
- embeddings
- title: Getting started with Milvus and OpenAI
path: >-
examples/vector_databases/milvus/Getting_started_with_Milvus_and_OpenAI.ipynb
date: 2023-03-28
authors:
- filip-halt
tags:
- embeddings
- title: Using MyScale as a vector database for OpenAI embeddings
path: >-
examples/vector_databases/myscale/Getting_started_with_MyScale_and_OpenAI.ipynb
date: 2023-05-01
authors:
- melovy
tags:
- embeddings
- title: Using MyScale for embeddings search
path: examples/vector_databases/myscale/Using_MyScale_for_embeddings_search.ipynb
date: 2023-06-28
authors:
- colin-openai
tags:
- embeddings
- title: Retrieval augmentation for GPT-4 using Pinecone
path: examples/vector_databases/pinecone/GPT4_Retrieval_Augmentation.ipynb
date: 2023-03-24
authors:
- jamescalam
tags:
- embeddings
- completions
- tiktoken
- title: Retrieval augmented generative question answering with Pinecone
path: examples/vector_databases/pinecone/Gen_QA.ipynb
date: 2023-02-07
authors:
- jamescalam
tags:
- embeddings
- completions
- title: Pinecone vector database
path: examples/vector_databases/pinecone/README.md
date: 2023-03-24
authors:
- jamescalam
tags:
- embeddings
- completions
- title: Semantic search with Pinecone and OpenAI
path: examples/vector_databases/pinecone/Semantic_Search.ipynb
date: 2023-03-24
authors:
- jamescalam
tags:
- embeddings
- title: Using Pinecone for embeddings search
path: >-
examples/vector_databases/pinecone/Using_Pinecone_for_embeddings_search.ipynb
date: 2023-06-28
authors:
- colin-openai
tags:
- embeddings
- title: Using Qdrant as a vector database for OpenAI embeddings
path: >-
examples/vector_databases/qdrant/Getting_started_with_Qdrant_and_OpenAI.ipynb
date: 2023-02-16
authors:
- kacperlukawski
tags:
- embeddings
- title: Question answering with Langchain, Qdrant and OpenAI
path: examples/vector_databases/qdrant/QA_with_Langchain_Qdrant_and_OpenAI.ipynb
date: 2023-02-16
authors:
- kacperlukawski
tags:
- embeddings
- title: Using Qdrant for embeddings search
path: examples/vector_databases/qdrant/Using_Qdrant_for_embeddings_search.ipynb
date: 2023-06-28
authors:
- colin-openai
- kacperlukawski
tags:
- embeddings
- title: Redis
path: examples/vector_databases/redis/README.md
date: 2023-02-13
authors:
- Spartee
tags:
- embeddings
- completions
- title: Using Redis for embeddings search
path: examples/vector_databases/redis/Using_Redis_for_embeddings_search.ipynb
date: 2023-06-28
authors:
- colin-openai
tags:
- embeddings
- title: Using Redis as a vector database with OpenAI
path: examples/vector_databases/redis/getting-started-with-redis-and-openai.ipynb
date: 2023-02-13
authors:
- Spartee
tags:
- embeddings
- title: Running hybrid VSS queries with Redis and OpenAI
path: examples/vector_databases/redis/redis-hybrid-query-examples.ipynb
date: 2023-05-11
authors:
- Michael Yuan
tags:
- embeddings
- title: Redis vectors as JSON with OpenAI
path: examples/vector_databases/redis/redisjson/redisjson.ipynb
date: 2023-05-10
authors:
- Michael Yuan
tags:
- embeddings
- title: Redis as a context store with Chat Completions
path: examples/vector_databases/redis/redisqna/redisqna.ipynb
date: 2023-05-11
authors:
- Michael Yuan
tags:
- completions
- embeddings
- title: Using Tair as a vector database for OpenAI embeddings
path: examples/vector_databases/tair/Getting_started_with_Tair_and_OpenAI.ipynb
date: 2023-09-11
authors:
- dongqqcom
tags:
- embeddings
- title: Question answering with Langchain, Tair and OpenAI
path: examples/vector_databases/tair/QA_with_Langchain_Tair_and_OpenAI.ipynb
date: 2023-09-11
authors:
- dongqqcom
tags:
- embeddings
- tiktoken
- completions
- title: Typesense
path: examples/vector_databases/typesense/README.md
date: 2023-04-13
authors:
- jasonbosco
tags:
- embeddings
- title: Using Typesense for embeddings search
path: >-
examples/vector_databases/typesense/Using_Typesense_for_embeddings_search.ipynb
date: 2023-06-28
authors:
- colin-openai
tags:
- embeddings
- title: Weaviate <> OpenAI
path: examples/vector_databases/weaviate/README.md
date: 2023-02-13
authors:
- colin-openai
tags:
- embeddings
- title: Using Weaviate for embeddings search
path: >-
examples/vector_databases/weaviate/Using_Weaviate_for_embeddings_search.ipynb
date: 2023-06-28
authors:
- colin-openai
tags:
- embeddings
- title: Using Weaviate with generative OpenAI module for generative search
path: >-
examples/vector_databases/weaviate/generative-search-with-weaviate-and-openai.ipynb
date: 2023-05-22
authors:
- sebawita
tags:
- embeddings
- completions
- title: Using Weaviate with OpenAI vectorize module for embeddings search
path: >-
examples/vector_databases/weaviate/getting-started-with-weaviate-and-openai.ipynb
date: 2023-02-13
authors:
- colin-openai
tags:
- embeddings
- title: Using Weaviate with OpenAI vectorize module for hybrid search
path: >-
examples/vector_databases/weaviate/hybrid-search-with-weaviate-and-openai.ipynb
date: 2023-02-13
authors:
- colin-openai
tags:
- embeddings
- title: Question Answering in Weaviate with OpenAI Q&A module
path: >-
examples/vector_databases/weaviate/question-answering-with-weaviate-and-openai.ipynb
date: 2023-02-13
authors:
- colin-openai
tags:
- embeddings
- completions
- title: Filtered Search with Zilliz and OpenAI
path: >-
examples/vector_databases/zilliz/Filtered_search_with_Zilliz_and_OpenAI.ipynb
date: 2023-03-28
authors:
- filip-halt
tags:
- embeddings
- title: Getting Started with Zilliz and OpenAI
path: >-
examples/vector_databases/zilliz/Getting_started_with_Zilliz_and_OpenAI.ipynb
date: 2023-03-28
authors:
- filip-halt
tags:
- embeddings
- title: Techniques to improve reliability
path: articles/techniques_to_improve_reliability.md
redirects:
- techniques_to_improve_reliability
date: 2022-09-12
authors:
- ted-at-openai
tags:
- completions
- title: How to work with large language models
path: articles/how_to_work_with_large_language_models.md
redirects:
- how_to_work_with_large_language_models
date: 2023-01-20
authors:
- ted-at-openai
tags:
- completions
- title: Use cases for embeddings
path: articles/text_comparison_examples.md
redirects:
- text_comparison_examples
date: 2023-01-20
authors:
- ted-at-openai
tags:
- embeddings
- title: Related resources from around the web
path: articles/related_resources.md
redirects:
- related_resources
date: 2023-01-20
authors:
- ted-at-openai
- simonpfish
tags:
- completions
- embeddings
- title: Fine-Tuning for retrieval augmented generation (RAG) with Qdrant
path: examples/fine-tuned_qa/ft_retrieval_augmented_generation_qdrant.ipynb
date: 2023-09-04
authors:
- NirantK
tags:
- completions
- embeddings
- title: How to automate AWS tasks with function calling
path: examples/third_party/How_to_automate_S3_storage_with_functions.ipynb
date: 2023-09-27
authors:
- Barqawiz
tags:
- completions
- embeddings
- functions
- title: Neon as a vector database
path: examples/vector_databases/neon/README.md
date: 2023-09-28
authors:
- Barqawiz
tags:
- embeddings
- title: Vector similarity search using Neon Postgres
path: examples/vector_databases/neon/neon-postgres-vector-search-pgvector.ipynb
date: 2023-09-28
authors:
- danieltprice
tags:
- embeddings
- title: Question answering with LangChain, Deep Lake, & OpenAI
path: examples/vector_databases/deeplake/deeplake_langchain_qa.ipynb
date: 2023-09-30
authors:
- FayazRahman
tags:
- embeddings
- title: Fine-tuning OpenAI models with Weights & Biases
path: examples/third_party/GPT_finetuning_with_wandb.ipynb
date: 2023-10-04
authors:
- ash0ts
tags:
- tiktoken
- completions
- title: OpenAI API Monitoring with Weights & Biases Weave
path: examples/third_party/Openai_monitoring_with_wandb_weave.ipynb
date: 2023-10-04
authors:
- ash0ts
tags:
- tiktoken
- completions
- title: How to build an agent with the OpenAI Node.js SDK
path: examples/How_to_build_an_agent_with_the_node_sdk.mdx
date: 2023-10-05
authors:
- perborgen
tags:
- completions
- functions
- title: Named Entity Recognition to Enrich Text
path: examples/Named_Entity_Recognition_to_enrich_text.ipynb
date: 2023-10-20
authors:
- dcarpintero
tags:
- completions
- functions
- title: What makes documentation good
path: articles/what_makes_documentation_good.md
redirects:
- what_makes_documentation_good
date: 2023-09-01
authors:
- ted-at-openai
tags: []
- title: Function calling with an OpenAPI specification
path: examples/Function_calling_with_an_OpenAPI_spec.ipynb
date: 2023-10-15
authors:
- shyamal-anadkat
- simonpfish
tags:
- completions
- functions
- title: Fine tuning for function calling
path: examples/Fine_tuning_for_function_calling.ipynb
date: 2023-11-07
authors:
- jhills20
- ibigio
tags:
- completions
- functions
- title: Processing and narrating a video with GPT's visual capabilities and the TTS API
path: examples/GPT_with_vision_for_video_understanding.ipynb
date: 2023-11-06
authors:
- cathykc
tags:
- completions
- vision
- speech
- title: What's new with DALL·E 3?
path: articles/what_is_new_with_dalle_3.mdx
date: 2023-11-06
authors:
- 0hq
tags:
- dall-e
- title: How to make your completions outputs consistent with the new seed parameter
path: examples/Reproducible_outputs_with_the_seed_parameter.ipynb
date: 2023-11-06
authors:
- shyamal-anadkat
tags:
- completions
- title: Assistants API Overview (Python SDK)
path: examples/Assistants_API_overview_python.ipynb
date: 2023-11-10
authors:
- ibigio
tags:
- assistants
- functions
- title: MongoDB Atlas Vector Search
path: examples/vector_databases/mongodb_atlas/README.md
date: 2023-11-21
authors:
- prakul
tags:
- embeddings
- completions
- title: Semantic search using MongoDB Atlas Vector Search and OpenAI
path: examples/vector_databases/mongodb_atlas/semantic_search_using_mongodb_atlas_vector_search.ipynb
date: 2023-11-21
authors:
- prakul
tags:
- embeddings
- completions
- title: Evaluate RAG with LlamaIndex
path: examples/evaluation/Evaluate_RAG_with_LlamaIndex.ipynb
date: 2023-11-06
authors:
- Ravi Theja
tags:
- embeddings
- completions
- title: RAG with a Graph database
path: examples/RAG_with_graph_db.ipynb
date: 2023-12-08
authors:
- katiagg
tags:
- embeddings
- completions
- title: Supabase Vector Database
path: examples/vector_databases/supabase/README.md
date: 2023-12-04
authors:
- ggrn
tags:
- embeddings
- title: Semantic search using Supabase Vector
path: examples/vector_databases/supabase/semantic-search.mdx
date: 2023-12-04
authors:
- ggrn
tags:
- embeddings
- title: How to implement LLM guardrails
path: examples/How_to_use_guardrails.ipynb
date: 2023-12-19
authors:
- colin-jarvis
tags:
- guardrails
- title: How to combine GPT4 with Vision with RAG to create a clothing matchmaker app
path: examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb
date: 2024-02-16
authors:
- teomusatoiu
tags:
- vision
- embeddings
- title: How to parse PDF docs for RAG
path: examples/Parse_PDF_docs_for_RAG.ipynb
date: 2024-02-28
authors:
- katiagg
tags:
- vision
- embeddings
- title: Using GPT4 with Vision to tag and caption images
path: examples/Tag_caption_images_with_GPT4V.ipynb
date: 2024-02-28
authors:
- katiagg
tags:
- vision
- embeddings
- title: How to use the moderation API
path: examples/How_to_use_moderation.ipynb
date: 2024-03-05
authors:
- teomusatoiu
tags:
- moderation
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