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1054 lines
24 KiB
YAML
1054 lines
24 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: 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
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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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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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- 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 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 the older API)
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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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- 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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- 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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- 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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- title: Azure chat completions example (preview)
|
|
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
|
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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
|
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authors:
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- ted-at-openai
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tags:
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- dall-e
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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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- title: Fine-Tuned Q&A - Collect Data
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path: examples/fine-tuned_qa/olympics-1-collect-data.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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- completions
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- title: Fine-Tuned Q&A - Create Q&A
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path: examples/fine-tuned_qa/olympics-2-create-qa.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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- completions
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- title: Fine-Tuned Q&A - Train
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path: examples/fine-tuned_qa/olympics-3-train-qa.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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- completions
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- 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:
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|
- 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:
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- Disiok
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tags:
|
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- embeddings
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- completions
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|
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- title: Vector Databases
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|
path: examples/vector_databases/README.md
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|
date: 2023-06-28
|
|
authors:
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- colin-openai
|
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- moizsajid
|
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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
|
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date: 2023-07-11
|
|
authors:
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|
- liuchengshan-lcs
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tags:
|
|
- 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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|
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- title: SingleStoreDB
|
|
path: examples/vector_databases/SingleStoreDB/README.md
|
|
date: 2023-05-22
|
|
authors:
|
|
- arno756
|
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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
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date: 2023-04-06
|
|
authors:
|
|
- wangxuqi
|
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tags:
|
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- embeddings
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|
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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
|
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authors:
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- wangxuqi
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tags:
|
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- embeddings
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- tiktoken
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|
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- title: Azure Cognitive Search as a vector database for OpenAI embeddings
|
|
path: >-
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examples/vector_databases/azuresearch/Getting_started_with_azure_cognitive_search_and_openai.ipynb
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date: 2023-09-11
|
|
authors:
|
|
- farzad528
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tags:
|
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- embeddings
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|
|
- title: Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB
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|
path: examples/vector_databases/cassandra_astradb/Philosophical_Quotes_CQL.ipynb
|
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date: 2023-08-29
|
|
authors:
|
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- hemidactylus
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tags:
|
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- embeddings
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- completions
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- title: Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB
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path: >-
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examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
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date: 2023-08-29
|
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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: >-
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|
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 AI 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 OpenAI Chat
|
|
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 GPT 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 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: 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: []
|