Role Data Engineering, Developer
Overview
Weaviate is an AI-native database that empowers developers to build and scale AI applications in production. It is an open-source vector database with over 1M monthly downloads.
Key Features:
- Open Source Vector Database
- Hybrid Search (keyword and vector search)
- GraphQL query language
Use Cases:
- RAG (Retrieval-Augmented Generation)
- Hybrid Search
- Building ChatGPT services with embeddings
Benefits:
- Flexibility in schema definition
- Easy to use and set up
- Fast development of generative AI applications
Capabilities
- Simplifies complex data workflows using AI-driven orchestration.
- Enriches and augments datasets at scale with LLMs.
- Leverages LLMs for decision-making and task orchestration.
- Interacts with the environment through tools and APIs for data retrieval and manipulation.
- Offers pre-built agentic services for specific tasks (Query, Transformation, and Personalization Agents).
- Translates user queries into precise, filterable searches.
- Creates new product descriptions using collected data and natural language prompts.
- Dynamically re-ranks results based on user context and past interactions.
- Automates data transformation tasks using natural language prompts.
- Personalizes user experiences by dynamically recommending or re-ranking results.