substratusai/weaviate-gorilla-v4

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kArchitecture:Transformer0.0K Cold

The substratusai/weaviate-gorilla-v4 is a 7 billion parameter language model specifically fine-tuned for generating GraphQL queries for Weaviate databases. It leverages a specialized prompt template to translate natural language queries into valid Weaviate GraphQL, utilizing provided schema and API references. This model is designed to streamline interaction with Weaviate, making it particularly useful for developers and applications requiring programmatic GraphQL generation.

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substratusai/weaviate-gorilla-v4: GraphQL Generation for Weaviate

The substratusai/weaviate-gorilla-v4 is a 7 billion parameter model engineered to facilitate the generation of GraphQL queries tailored for Weaviate databases. Unlike general-purpose LLMs, this model is highly specialized, focusing exclusively on translating natural language requests into precise and valid Weaviate GraphQL.

Key Capabilities

  • Natural Language to GraphQL: Converts user-friendly natural language queries into structured GraphQL syntax.
  • Schema-Aware Generation: Utilizes a provided Weaviate schema to ensure generated queries are semantically correct and align with the database structure.
  • API Reference Integration: Incorporates a Weaviate API reference to adhere to correct syntax and available operations.
  • Specialized Prompt Template: Employs a specific instruction-based prompt format to guide the generation process, ensuring high accuracy and relevance for Weaviate interactions.

Good For

  • Automating Weaviate Interactions: Ideal for applications that need to programmatically construct complex Weaviate queries from user input or internal logic.
  • Developer Tooling: Can be integrated into developer environments to assist in writing correct GraphQL for Weaviate.
  • Simplifying Data Access: Lowers the barrier for interacting with Weaviate by allowing natural language interfaces.

This model is a targeted solution for developers working with Weaviate, offering a focused approach to GraphQL generation rather than broad language understanding.

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