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What is Weaviate?

Weaviate is an open-source, AI-native database that helps organizations build and ship AI applications on a single, scalable foundation. It stores data objects alongside the vector embeddings produced by your chosen machine learning models and scales smoothly to billions of records. Teams can supply their own vectors or use Weaviate's built-in vectorization, then query their data through vector, keyword, and hybrid search to surface the most relevant results, even with complex filters. By integrating with leading large language models, Weaviate makes it straightforward to build retrieval-augmented generation, grounded question answering, and intelligent search over proprietary data. Beyond core retrieval, Weaviate offers a growing platform: the Query Agent converts natural-language questions into precise, cited queries; Engram provides managed memory that lets AI agents retain context over time; and Weaviate Embeddings handles vectorization as a managed service. Organizations can self-host under an open-source license or adopt fully managed Weaviate Cloud on AWS, GCP, or Azure, with SOC 2 Type II compliance, multi-tenancy, replication, and role-based access control. From semantic search and recommendations to agentic automation, Weaviate turns business data into AI-powered products.

What is TopK?

TopK is an innovative document database that operates in a cloud-native environment with a serverless framework, specifically tailored for enhancing search applications. This system integrates both vector search—viewing vectors as a distinct data type—and traditional keyword search using the BM25 model within a cohesive interface. TopK's advanced query expression language empowers developers to construct dependable applications across various domains, such as semantic, retrieval-augmented generation (RAG), and multi-modal applications, without the complexity of managing multiple databases or services. Furthermore, the comprehensive retrieval engine being developed will facilitate document transformation by automatically generating embeddings, enhance query comprehension by interpreting metadata filters from user inquiries, and implement adaptive ranking by returning "relevance feedback" to TopK, all seamlessly integrated into a single platform for improved efficiency and functionality. This unification not only simplifies development but also optimizes the user experience by delivering precise and contextually relevant search results.

Media

Media

No images available

Integrations Supported

Amazon Bedrock
Amazon SageMaker
Amazon Web Services (AWS)
Anyscale
Astro by Astronomer
Cohere
Cursor
DeepEval
Dify
Google Cloud Marketplace
IBM API Connect
LangChain
LlamaIndex
Model Context Protocol (MCP)
NVIDIA AI Data Platform
Ollama
Parallel
Snowflake
Tadata
Unstructured

API Availability

Has API

API Availability

Pricing Information

Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Version

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Weaviate

Date Founded

2019

Company Location

The Netherlands

Company Website

weaviate.io

Company Facts

Organization Name

TopK

Date Founded

2024

Company Location

United States

Company Website

www.topk.io

Categories and Features

AI Memory Layers

Not specified

Context Engineering

Not specified

Vector Databases

Not specified

Categories and Features

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