This Pull Request introduces a new prompt and detailed instructions for creating a fully managed vector database. The prompt focuses on integrating specific features, technical sources, frameworks, and a code layout to help the Large Language Model (LLM) understand and generate accurate code for the project.
Key additions include:
Single-stage filtering with Pinecone's Python SDK
Expressive query syntax using Weaviate's Python client
Object storage with Weaviate's object storage feature and MinIO
Inverted index with Weaviate's inverted index functionality and Elasticsearch
Question answering component using Weaviate's question answering feature and OpenAI's GPT
Scalability considerations for Pinecone and Weaviate
Performance evaluation for Pinecone and Weaviate
Ease of use assessment for Pinecone and Weaviate
Open-source analysis for Pinecone and Weaviate
This PR aims to provide a more comprehensive and informative prompt, enabling the LLM to better understand the requirements and generate accurate code for building a vector database. The added technical sources and frameworks are intended to make the implementation process more straightforward for developers.
This Pull Request introduces a new prompt and detailed instructions for creating a fully managed vector database. The prompt focuses on integrating specific features, technical sources, frameworks, and a code layout to help the Large Language Model (LLM) understand and generate accurate code for the project.
Key additions include:
Single-stage filtering with Pinecone's Python SDK Expressive query syntax using Weaviate's Python client Object storage with Weaviate's object storage feature and MinIO Inverted index with Weaviate's inverted index functionality and Elasticsearch Question answering component using Weaviate's question answering feature and OpenAI's GPT Scalability considerations for Pinecone and Weaviate Performance evaluation for Pinecone and Weaviate Ease of use assessment for Pinecone and Weaviate Open-source analysis for Pinecone and Weaviate This PR aims to provide a more comprehensive and informative prompt, enabling the LLM to better understand the requirements and generate accurate code for building a vector database. The added technical sources and frameworks are intended to make the implementation process more straightforward for developers.
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