Weaviate AI-Native Database

What is Weaviate: Overview

Weaviate AI is an open-source vector database designed specifically to simplify and accelerate the development of AI applications. It stores both data objects and their vector embeddings, allowing semantic search based on meaning rather than simple keyword matching. This semantic search enables search results that find conceptually similar information, powering advanced AI features like retrieval-augmented generation (RAG), smart recommendation systems, and AI-powered chatbots with long-term memory.

Key Features of Weaviate

• Built-in Hybrid Search
• Advanced Filtering
• Out-of-the-Box RAG (Retrieval Augmented Generation)
• Vectorizer Modules
• Configurable Backups
• Native Multi-Tenancy
• Vector Index Compression
• Cloud-Native and Modular Architecture
• Real-Time, Reliable Data Storage
• Integrations with ML Ecosystem

How to Use Weaviate: Step-by-Step

Using Weaviate generally follows these key steps:

1. Set Up Weaviate: Install Weaviate locally or choose a cloud deployment option. Configure it according to your project needs (resources, security, modules).

2. Define Schema: Create a schema defining your data classes and properties. This structures how data and vectors are stored.

3. Import Data: Add objects and their vector embeddings (text, images, etc.) into Weaviate using APIs or client libraries.

4. Use Vectorizers: Either use Weaviate’s built-in vectorizers or your own ML models to convert raw data into vectors for semantic search.

5. Query Data: Perform hybrid queries combining vector similarity and keyword filters to find relevant results.

6. Integrate ML Models: Optional, connect external machine learning models for retrieval-augmented generation or enhanced AI functionality.

7. Iterate & Scale: Adjust schema, data, and modules as needed; scale horizontally to handle bigger datasets and higher loads.

Use Cases of Weaviate

• Retrieval Augmented Generation (RAG)
• Chatbots
• E-commerce Recommendations
• Semantic Search
• Multi-Modal Search
• Enterprise Search & Analytics
• Multi-Tenancy Applications

Who is It For?

• AI and Machine Learning Practitioners
• Software Developers
• Enterprises and Businesses
• Content and Knowledge Managers
• Research Teams

Weaviate Pricing and Plans

1. Free – $0 (Fully managed Vector Database in shared cloud. The easiest way to get started with Weaviate)

2. Flex – Starts at $45 /mo (Zero-commitment entry point to experiment and ship quickly. Ideal for prototypes, pilots, and small use cases)

3. Plus – Starts at $280 /mo (For teams scaling AI in production who need predictable pricing, enterprise security, and enhanced reliability)

4. Premium – Contact to sales (For teams running mission-critical workloads that require dedicated infra, advanced compliance, and white-glove support)