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@ -14,7 +14,7 @@
tags:
- completions
- title: Creating slides with the Assistants API and DALL-E3
- title: Creating slides with the Assistants API and DALL·E 3
path: examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb
date: 2023-12-08
authors:
@ -52,7 +52,7 @@
tags:
- embeddings
- title: Clustering for Transaction Classification
- title: Clustering for transaction classification
path: examples/Clustering_for_transaction_classification.ipynb
date: 2022-10-20
authors:
@ -99,7 +99,7 @@
- embeddings
- tiktoken
- title: Long Document Content Extraction
- title: Long document content extraction
path: examples/Entity_extraction_for_long_documents.ipynb
date: 2023-02-20
authors:
@ -164,7 +164,7 @@
- completions
- functions
- title: How to count tokens with tiktoken
- title: How to count tokens with Tiktoken
path: examples/How_to_count_tokens_with_tiktoken.ipynb
date: 2022-12-16
authors:
@ -293,7 +293,7 @@
tags:
- completions
- title: Unit test writing using a multi-step prompt (with the older API)
- title: Unit test writing using a multi-step prompt with legacy Completions
path: >-
examples/Unit_test_writing_using_a_multi-step_prompt_with_older_completions_API.ipynb
date: 2023-05-19
@ -389,7 +389,7 @@
tags:
- dall-e
- title: Azure chat completions example (preview)
- title: Azure Chat Completions example (preview)
path: examples/azure/chat.ipynb
date: 2023-03-28
authors:
@ -399,7 +399,7 @@
tags:
- completions
- title: Azure chat completion models with your own data (preview)
- title: Azure Chat Completion models with your own data (preview)
path: examples/azure/chat_with_your_own_data.ipynb
date: 2023-09-11
authors:
@ -474,7 +474,7 @@
- embeddings
- completions
- title: Fine-Tuned Q&A - Collect Data
- title: Fine-Tuned Q&A - collect data
path: examples/fine-tuned_qa/olympics-1-collect-data.ipynb
date: 2022-03-10
authors:
@ -484,7 +484,7 @@
- embeddings
- completions
- title: Fine-Tuned Q&A - Create Q&A
- title: Fine-Tuned Q&A - create Q&A
path: examples/fine-tuned_qa/olympics-2-create-qa.ipynb
date: 2022-03-10
authors:
@ -494,7 +494,7 @@
- embeddings
- completions
- title: Fine-Tuned Q&A - Train
- title: Fine-Tuned Q&A - train
path: examples/fine-tuned_qa/olympics-3-train-qa.ipynb
date: 2022-03-10
authors:
@ -512,7 +512,7 @@
tags:
- embeddings
- title: Financial Document Analysis with LlamaIndex
- title: Financial document analysis with LlamaIndex
path: >-
examples/third_party/financial_document_analysis_with_llamaindex.ipynb
date: 2023-06-22
@ -522,7 +522,7 @@
- embeddings
- completions
- title: Vector Databases
- title: Vector databases
path: examples/vector_databases/README.md
date: 2023-06-28
authors:
@ -568,7 +568,7 @@
tags:
- embeddings
- title: Question Answering with Langchain, AnalyticDB and OpenAI
- title: Question answering with Langchain, AnalyticDB and OpenAI
path: >-
examples/vector_databases/analyticdb/QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb
date: 2023-05-05
@ -587,7 +587,7 @@
tags:
- embeddings
- title: Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB
- 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:
@ -596,7 +596,7 @@
- embeddings
- completions
- title: Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB
- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB
path: >-
examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
date: 2023-08-29
@ -614,7 +614,7 @@
tags:
- embeddings
- title: Using Chroma for Embeddings Search
- title: Using Chroma for embeddings search
path: examples/vector_databases/chroma/Using_Chroma_for_embeddings_search.ipynb
date: 2023-06-28
authors:
@ -623,7 +623,7 @@
tags:
- embeddings
- title: Robust Question Answering with Chroma and OpenAI
- title: Robust question answering with Chroma and OpenAI
path: examples/vector_databases/chroma/hyde-with-chroma-and-openai.ipynb
date: 2023-04-06
authors:
@ -669,7 +669,7 @@
tags:
- embeddings
- title: Kusto as a Vector database for AI 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
@ -678,7 +678,7 @@
tags:
- embeddings
- title: Kusto as a Vector database
- title: Kusto as a vector database
path: examples/vector_databases/kusto/README.md
date: 2023-05-10
authors:
@ -686,7 +686,7 @@
tags:
- embeddings
- title: Filtered Search with Milvus and OpenAI
- title: Filtered search with Milvus and OpenAI
path: >-
examples/vector_databases/milvus/Filtered_search_with_Milvus_and_OpenAI.ipynb
date: 2023-03-28
@ -695,7 +695,7 @@
tags:
- embeddings
- title: Getting Started with Milvus and OpenAI
- title: Getting started with Milvus and OpenAI
path: >-
examples/vector_databases/milvus/Getting_started_with_Milvus_and_OpenAI.ipynb
date: 2023-03-28
@ -713,7 +713,7 @@
tags:
- embeddings
- title: Using MyScale for Embeddings Search
- title: Using MyScale for embeddings search
path: examples/vector_databases/myscale/Using_MyScale_for_embeddings_search.ipynb
date: 2023-06-28
authors:
@ -721,7 +721,7 @@
tags:
- embeddings
- title: Retrieval Augmentation for GPT-4 using Pinecone
- title: Retrieval augmentation for GPT-4 using Pinecone
path: examples/vector_databases/pinecone/GPT4_Retrieval_Augmentation.ipynb
date: 2023-03-24
authors:
@ -731,7 +731,7 @@
- completions
- tiktoken
- title: Retrieval Augmented Generative Question Answering with Pinecone
- title: Retrieval augmented generative question answering with Pinecone
path: examples/vector_databases/pinecone/Gen_QA.ipynb
date: 2023-02-07
authors:
@ -740,7 +740,7 @@
- embeddings
- completions
- title: Pinecone Vector Database
- title: Pinecone vector database
path: examples/vector_databases/pinecone/README.md
date: 2023-03-24
authors:
@ -749,7 +749,7 @@
- embeddings
- completions
- title: Semantic Search with Pinecone and OpenAI
- title: Semantic search with Pinecone and OpenAI
path: examples/vector_databases/pinecone/Semantic_Search.ipynb
date: 2023-03-24
authors:
@ -757,7 +757,7 @@
tags:
- embeddings
- title: Using Pinecone for Embeddings Search
- title: Using Pinecone for embeddings search
path: >-
examples/vector_databases/pinecone/Using_Pinecone_for_embeddings_search.ipynb
date: 2023-06-28
@ -775,7 +775,7 @@
tags:
- embeddings
- title: Question Answering with Langchain, Qdrant and OpenAI
- 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:
@ -783,7 +783,7 @@
tags:
- embeddings
- title: Using Qdrant for Embeddings Search
- title: Using Qdrant for embeddings search
path: examples/vector_databases/qdrant/Using_Qdrant_for_embeddings_search.ipynb
date: 2023-06-28
authors:
@ -801,7 +801,7 @@
- embeddings
- completions
- title: Using Redis for Embeddings Search
- title: Using Redis for embeddings search
path: examples/vector_databases/redis/Using_Redis_for_embeddings_search.ipynb
date: 2023-06-28
authors:
@ -809,7 +809,7 @@
tags:
- embeddings
- title: Using Redis as a Vector Database with OpenAI
- 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:
@ -817,7 +817,7 @@
tags:
- embeddings
- title: Running Hybrid VSS Queries with Redis and OpenAI
- title: Running hybrid VSS queries with Redis and OpenAI
path: examples/vector_databases/redis/redis-hybrid-query-examples.ipynb
date: 2023-05-11
authors:
@ -825,7 +825,7 @@
tags:
- embeddings
- title: Redis Vectors as JSON with OpenAI
- title: Redis vectors as JSON with OpenAI
path: examples/vector_databases/redis/redisjson/redisjson.ipynb
date: 2023-05-10
authors:
@ -833,7 +833,7 @@
tags:
- embeddings
- title: Redis as a Context Store with OpenAI Chat
- title: Redis as a context store with Chat Completions
path: examples/vector_databases/redis/redisqna/redisqna.ipynb
date: 2023-05-11
authors:
@ -850,7 +850,7 @@
tags:
- embeddings
- title: Question Answering with Langchain, Tair and OpenAI
- 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:
@ -868,7 +868,7 @@
tags:
- embeddings
- title: Using Typesense for Embeddings Search
- title: Using Typesense for embeddings search
path: >-
examples/vector_databases/typesense/Using_Typesense_for_embeddings_search.ipynb
date: 2023-06-28
@ -885,7 +885,7 @@
tags:
- embeddings
- title: Using Weaviate for Embeddings Search
- title: Using Weaviate for embeddings search
path: >-
examples/vector_databases/weaviate/Using_Weaviate_for_embeddings_search.ipynb
date: 2023-06-28
@ -894,7 +894,7 @@
tags:
- embeddings
- title: Using Weaviate with Generative OpenAI module for Generative Search
- 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
@ -904,7 +904,7 @@
- embeddings
- completions
- title: Using Weaviate with OpenAI vectorize module for Embeddings Search
- 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
@ -913,7 +913,7 @@
tags:
- embeddings
- title: Using Weaviate with OpenAI vectorize module for Hybrid Search
- 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
@ -992,7 +992,7 @@
- completions
- embeddings
- title: Fine-Tuning for Retrieval Augmented Generation (RAG) with Qdrant
- 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:
@ -1001,7 +1001,7 @@
- completions
- embeddings
- title: How to automate AWS tasks with function-calling
- 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:
@ -1027,7 +1027,7 @@
tags:
- embeddings
- title: Question Answering with LangChain, Deep Lake, & OpenAI
- title: Question answering with LangChain, Deep Lake, & OpenAI
path: examples/vector_databases/deeplake/deeplake_langchain_qa.ipynb
date: 2023-09-30
authors:
@ -1035,7 +1035,7 @@
tags:
- embeddings
- title: Fine-tuning GPT with Weights & Biases
- title: Fine-tuning OpenAI models with Weights & Biases
path: examples/third_party/GPT_finetuning_with_wandb.ipynb
date: 2023-10-04
authors:
@ -1053,7 +1053,7 @@
- tiktoken
- completions
- title: How to build an agent with the Node.js SDK
- 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:
@ -1080,7 +1080,7 @@
- ted-at-openai
tags: []
- title: Function-calling with an OpenAPI specification
- title: Function calling with an OpenAPI specification
path: examples/Function_calling_with_an_OpenAPI_spec.ipynb
date: 2023-10-15
authors:
@ -1090,7 +1090,7 @@
- completions
- functions
- title: Fine tuning for function-calling
- title: Fine tuning for function calling
path: examples/Fine_tuning_for_function_calling.ipynb
date: 2023-11-07
authors:
@ -1110,7 +1110,7 @@
- vision
- speech
- title: What's new with DALL·E-3?
- title: What's new with DALL·E 3?
path: articles/what_is_new_with_dalle_3.mdx
date: 2023-11-06
authors:
@ -1166,11 +1166,7 @@
path: examples/RAG_with_graph_db.ipynb
date: 2023-12-08
authors:
<<<<<<< HEAD
- katia-openai
=======
- katiagg
>>>>>>> e92df85ad4da5a9b74e65b6b7390977d297aa7fa
tags:
- embeddings
- completions
@ -1219,7 +1215,7 @@
- embeddings
- title: Using GPT-4V to tag & caption images
- title: Using GPT-4 with Vision to tag & caption images
path: examples/Tag_caption_images_with_GPT4V.ipynb
date: 2024-02-28
authors:

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