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1289 lines
29 KiB
YAML
1289 lines
29 KiB
YAML
# yaml-language-server: $schema=./.github/registry_schema.json
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# This file is used to generate cookbook.openai.com. It specifies which paths we
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# should build pages for, and indicates metadata such as tags, creation date and
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# authors for each page.
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- title: Using logprobs
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path: examples/Using_logprobs.ipynb
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date: 2023-12-20
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authors:
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- jhills20
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- shyamal-anadkat
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tags:
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- completions
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- title: Creating slides with the Assistants API and DALL·E 3
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path: examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb
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date: 2023-12-08
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authors:
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- jhills20
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tags:
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- assistants
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- dall-e
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- title: Data preparation and analysis for chat model fine-tuning
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path: examples/Chat_finetuning_data_prep.ipynb
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date: 2023-08-22
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authors:
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- mwu1993
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- simonpfish
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tags:
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- completions
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- tiktoken
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- title: Classification using embeddings
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path: examples/Classification_using_embeddings.ipynb
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date: 2022-07-11
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authors:
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- ted-at-openai
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- logankilpatrick
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tags:
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- embeddings
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- title: Clustering
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path: examples/Clustering.ipynb
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date: 2022-03-10
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authors:
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- BorisPower
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- ted-at-openai
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- logankilpatrick
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tags:
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- embeddings
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- title: Clustering for transaction classification
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path: examples/Clustering_for_transaction_classification.ipynb
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date: 2022-10-20
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authors:
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- colin-jarvis
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- ted-at-openai
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tags:
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- embeddings
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- completions
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- title: Code search using embeddings
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path: examples/Code_search_using_embeddings.ipynb
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date: 2022-03-10
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authors:
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- BorisPower
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- logankilpatrick
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- eli64s
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tags:
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- embeddings
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- title: Customizing embeddings
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path: examples/Customizing_embeddings.ipynb
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date: 2022-03-10
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authors:
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- ted-at-openai
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- BorisPower
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tags:
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- embeddings
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- title: Embedding Wikipedia articles for search
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path: examples/Embedding_Wikipedia_articles_for_search.ipynb
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date: 2023-04-14
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authors:
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- ted-at-openai
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tags:
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- embeddings
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- completions
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- title: Embedding texts that are longer than the model's maximum context length
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path: examples/Embedding_long_inputs.ipynb
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date: 2023-01-18
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authors:
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- filipeabperes
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tags:
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- embeddings
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- tiktoken
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- title: Long document content extraction
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path: examples/Entity_extraction_for_long_documents.ipynb
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date: 2023-02-20
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authors:
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- colin-openai
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tags:
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- completions
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- title: Fine tuning classification example
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path: examples/Fine-tuned_classification.ipynb
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date: 2022-03-10
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authors:
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- BorisPower
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tags:
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- completions
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- title: >-
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Function calling for nearby places: Leveraging the Google Places API and
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customer profiles
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path: examples/Function_calling_finding_nearby_places.ipynb
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date: 2023-08-11
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authors:
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- prestontuggle
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tags:
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- completions
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- functions
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- title: Using embeddings
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path: examples/Using_embeddings.ipynb
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date: 2022-03-10
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authors:
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- BorisPower
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- ted-at-openai
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- logankilpatrick
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- jbeutler-openai
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tags:
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- embeddings
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- title: How to build a tool-using agent with LangChain
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path: examples/How_to_build_a_tool-using_agent_with_Langchain.ipynb
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date: 2023-05-02
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authors:
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- colin-openai
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tags:
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- completions
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- embeddings
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- title: How to use functions with a knowledge base
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path: examples/How_to_call_functions_for_knowledge_retrieval.ipynb
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date: 2023-06-14
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authors:
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- colin-openai
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tags:
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- completions
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- functions
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- title: How to call functions with chat models
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path: examples/How_to_call_functions_with_chat_models.ipynb
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date: 2023-06-13
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authors:
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- colin-openai
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- joe-at-openai
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tags:
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- completions
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- functions
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- title: How to count tokens with Tiktoken
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path: examples/How_to_count_tokens_with_tiktoken.ipynb
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date: 2022-12-16
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authors:
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- ted-at-openai
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tags:
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- tiktoken
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- completions
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- title: How to fine-tune chat models
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path: examples/How_to_finetune_chat_models.ipynb
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date: 2023-08-22
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authors:
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- simonpfish
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tags:
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- completions
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- title: How to format inputs to ChatGPT models
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path: examples/How_to_format_inputs_to_ChatGPT_models.ipynb
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date: 2023-03-01
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authors:
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- ted-at-openai
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tags:
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- completions
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- tiktoken
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- title: How to handle rate limits
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path: examples/How_to_handle_rate_limits.ipynb
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date: 2022-09-10
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authors:
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- ted-at-openai
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tags:
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- completions
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- embeddings
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- title: How to stream completions
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path: examples/How_to_stream_completions.ipynb
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date: 2022-09-02
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authors:
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- ted-at-openai
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tags:
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- completions
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- tiktoken
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- title: Multiclass Classification for Transactions
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path: examples/Multiclass_classification_for_transactions.ipynb
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date: 2022-10-20
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authors:
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- colin-jarvis
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tags:
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- embeddings
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- completions
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- title: Get embeddings from dataset
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path: examples/Get_embeddings_from_dataset.ipynb
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date: 2022-03-10
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authors:
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- BorisPower
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- ted-at-openai
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tags:
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- embeddings
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- title: Question answering using a search API and re-ranking
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path: examples/Question_answering_using_a_search_API.ipynb
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date: 2023-06-16
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authors:
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- simonpfish
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- ted-at-openai
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tags:
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- embeddings
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- completions
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- title: Question answering using embeddings-based search
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path: examples/Question_answering_using_embeddings.ipynb
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date: 2022-06-10
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authors:
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- ted-at-openai
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- MikeHeaton
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tags:
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- embeddings
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- completions
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- title: Recommendation using embeddings and nearest neighbor search
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path: examples/Recommendation_using_embeddings.ipynb
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date: 2022-03-10
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authors:
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- ted-at-openai
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- BorisPower
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- logankilpatrick
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tags:
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- embeddings
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- title: Regression using the embeddings
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path: examples/Regression_using_embeddings.ipynb
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date: 2022-03-10
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authors:
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- BorisPower
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- ted-at-openai
|
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- logankilpatrick
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tags:
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- embeddings
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- title: Search reranking with cross-encoders
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path: examples/Search_reranking_with_cross-encoders.ipynb
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date: 2023-06-28
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authors:
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- colin-openai
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tags:
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- embeddings
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- completions
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- title: Semantic text search using embeddings
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path: examples/Semantic_text_search_using_embeddings.ipynb
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date: 2022-03-10
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authors:
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- BorisPower
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- ted-at-openai
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- logankilpatrick
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tags:
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- embeddings
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- title: Unit test writing using a multi-step prompt
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path: examples/Unit_test_writing_using_a_multi-step_prompt.ipynb
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date: 2022-11-15
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authors:
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- ted-at-openai
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tags:
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- completions
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- title: Unit test writing using a multi-step prompt with legacy Completions
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path: >-
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examples/Unit_test_writing_using_a_multi-step_prompt_with_older_completions_API.ipynb
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date: 2023-05-19
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authors:
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- ted-at-openai
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tags:
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- completions
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- title: User and product embeddings
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path: examples/User_and_product_embeddings.ipynb
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date: 2022-03-10
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authors:
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- BorisPower
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tags:
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- embeddings
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- title: Visualizing the embeddings in 2D
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path: examples/Visualizing_embeddings_in_2D.ipynb
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date: 2022-03-10
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authors:
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- BorisPower
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- ted-at-openai
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tags:
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- embeddings
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- title: Visualizing embeddings in 3D
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path: examples/Visualizing_embeddings_in_3D.ipynb
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date: 2022-03-10
|
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authors:
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- BorisPower
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- ted-at-openai
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tags:
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- embeddings
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- title: Visualizing embeddings in Weights and Biases
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path: examples/third_party/Visualizing_embeddings_in_wandb.ipynb
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date: 2023-02-01
|
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authors:
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- scottire
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tags:
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- embeddings
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- title: Visualizing embeddings in Atlas
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path: examples/third_party/Visualizing_embeddings_with_Atlas.ipynb
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date: 2023-03-28
|
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authors:
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- AndriyMulyar
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- TDulka
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tags:
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- embeddings
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|
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- title: "Addressing transcription misspellings: prompt vs post-processing"
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path: examples/Whisper_correct_misspelling.ipynb
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date: 2023-08-11
|
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authors:
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- prestontuggle
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tags:
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- whisper
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- completions
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- title: "Enhancing Whisper transcriptions: pre- & post-processing techniques"
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path: examples/Whisper_processing_guide.ipynb
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date: 2023-08-11
|
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authors:
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- prestontuggle
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tags:
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- whisper
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|
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- title: Whisper prompting guide
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path: examples/Whisper_prompting_guide.ipynb
|
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date: 2023-06-27
|
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authors:
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- prestontuggle
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tags:
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- whisper
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- completions
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|
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- title: Zero-shot classification with embeddings
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path: examples/Zero-shot_classification_with_embeddings.ipynb
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date: 2022-03-10
|
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authors:
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- BorisPower
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- ted-at-openai
|
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- logankilpatrick
|
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tags:
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- embeddings
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|
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- title: Azure DALL·E image generation example
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|
path: examples/azure/DALL-E.ipynb
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date: 2023-06-12
|
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authors:
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- glecaros
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tags:
|
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- dall-e
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|
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- title: Azure Chat Completions example (preview)
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path: examples/azure/chat.ipynb
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date: 2023-03-28
|
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authors:
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- cmurtz-msft
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- glecaros
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- kristapratico
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tags:
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- completions
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- title: Azure Chat Completion models with your own data (preview)
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path: examples/azure/chat_with_your_own_data.ipynb
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date: 2023-09-11
|
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authors:
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- kristapratico
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tags:
|
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- completions
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- title: Azure completions example
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path: examples/azure/completions.ipynb
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date: 2022-12-16
|
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authors:
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- cmurtz-msft
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- glecaros
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- kristapratico
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tags:
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- embeddings
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- completions
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- title: Azure embeddings example
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path: examples/azure/embeddings.ipynb
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date: 2022-07-12
|
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authors:
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- ted-at-openai
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- cmurtz-msft
|
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- glecaros
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- kristapratico
|
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tags:
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- embeddings
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- title: Azure functions example
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path: examples/azure/functions.ipynb
|
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date: 2023-07-21
|
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authors:
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- kristapratico
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tags:
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- completions
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- functions
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- title: Translate a book writen in LaTeX from Slovenian into English
|
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path: examples/book_translation/translate_latex_book.ipynb
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date: 2022-03-10
|
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authors:
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- BorisPower
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tags:
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- completions
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- tiktoken
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- title: How to create dynamic masks with DALL·E and Segment Anything
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path: >-
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examples/dalle/How_to_create_dynamic_masks_with_DALL-E_and_Segment_Anything.ipynb
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date: 2023-05-19
|
|
authors:
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- colin-openai
|
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tags:
|
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- dall-e
|
|
|
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- title: How to use the DALL·E API
|
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path: examples/dalle/Image_generations_edits_and_variations_with_DALL-E.ipynb
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date: 2022-11-04
|
|
authors:
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- ted-at-openai
|
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tags:
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- dall-e
|
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|
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- title: How to evaluate a summarization task
|
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path: examples/evaluation/How_to_eval_abstractive_summarization.ipynb
|
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date: 2023-08-16
|
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authors:
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- shyamal-anadkat
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- simonpfish
|
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tags:
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- embeddings
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- completions
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|
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- title: Getting Started with OpenAI Evals
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|
path: examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb
|
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date: 2024-03-21
|
|
authors:
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- royziv11
|
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- shyamal-anadkat
|
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tags:
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- completions
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|
|
|
- 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:
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- embeddings
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|
- completions
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- 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:
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- embeddings
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|
- completions
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|
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- 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:
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|
- completions
|
|
- embeddings
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|
|
|
- title: Visualizing the embeddings in Kangas
|
|
path: examples/third_party/Visualizing_embeddings_in_Kangas.ipynb
|
|
date: 2023-07-11
|
|
authors:
|
|
- dsblank
|
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tags:
|
|
- embeddings
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|
|
|
- title: Financial document analysis with LlamaIndex
|
|
path: >-
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examples/third_party/financial_document_analysis_with_llamaindex.ipynb
|
|
date: 2023-06-22
|
|
authors:
|
|
- Disiok
|
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tags:
|
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- embeddings
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- completions
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|
|
|
- title: Vector databases
|
|
path: examples/vector_databases/README.md
|
|
date: 2023-06-28
|
|
authors:
|
|
- colin-openai
|
|
- moizsajid
|
|
tags:
|
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- embeddings
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|
|
|
- title: Using PolarDB-PG as a vector database for OpenAI embeddings
|
|
path: >-
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examples/vector_databases/PolarDB/Getting_started_with_PolarDB_and_OpenAI.ipynb
|
|
date: 2023-07-11
|
|
authors:
|
|
- liuchengshan-lcs
|
|
tags:
|
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- embeddings
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|
|
|
- title: Semantic search with SingleStoreDB
|
|
path: >-
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examples/vector_databases/SingleStoreDB/OpenAI_wikipedia_semantic_search.ipynb
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date: 2023-05-22
|
|
authors:
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- arno756
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tags:
|
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- completions
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|
- embeddings
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|
|
|
- title: SingleStoreDB
|
|
path: examples/vector_databases/SingleStoreDB/README.md
|
|
date: 2023-05-22
|
|
authors:
|
|
- arno756
|
|
tags:
|
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- embeddings
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|
- completions
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|
|
- title: Using AnalyticDB as a vector database for OpenAI embeddings
|
|
path: >-
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examples/vector_databases/analyticdb/Getting_started_with_AnalyticDB_and_OpenAI.ipynb
|
|
date: 2023-04-06
|
|
authors:
|
|
- wangxuqi
|
|
tags:
|
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- embeddings
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|
|
|
- title: Question answering with Langchain, AnalyticDB and OpenAI
|
|
path: >-
|
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examples/vector_databases/analyticdb/QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb
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|
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
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|
path: examples/vector_databases/mongodb_atlas/semantic_search_using_mongodb_atlas_vector_search.ipynb
|
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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
|
|
|
|
|
|
- title: Summarizing Long Documents
|
|
path: examples/Summarizing_long_documents.ipynb
|
|
date: 2024-04-19
|
|
authors:
|
|
- joe-at-openai
|
|
tags:
|
|
- chat
|
|
|
|
- title: Using GPT4 Vision with Function Calling
|
|
path: examples/multimodal/Using_GPT4_Vision_With_Function_Calling.ipynb
|
|
date: 2024-04-09
|
|
authors:
|
|
- shyamal-anadkat
|
|
tags:
|
|
- chat
|
|
- vision
|
|
|
|
- title: Synthetic data generation (Part 1)
|
|
path: examples/SDG1.ipynb
|
|
date: 2024-04-10
|
|
authors:
|
|
- dylanra-openai
|
|
tags:
|
|
- completions
|
|
|
|
|
|
- title: CLIP embeddings to improve multimodal RAG with GPT-4 Vision
|
|
path: examples/custom_image_embedding_search.ipynb
|
|
date: 2024-04-10
|
|
authors:
|
|
- dylanra-openai
|
|
tags:
|
|
- vision
|
|
- embeddings
|
|
|
|
- title: Batch processing with the Batch API
|
|
path: examples/batch_processing.ipynb
|
|
date: 2024-04-24
|
|
authors:
|
|
- katiagg
|
|
tags:
|
|
- batch
|
|
- completions |