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About

VectorDB is a lightweight Python package for storing and retrieving text using chunking, embedding, and vector search techniques. It provides an easy-to-use interface for saving, searching, and managing textual data with associated metadata and is designed for use cases where low latency is essential. Vector search and embeddings are essential when working with large language models because they enable efficient and accurate retrieval of relevant information from massive datasets. By converting text into high-dimensional vectors, these techniques allow for quick comparisons and searches, even when dealing with millions of documents. This makes it possible to find the most relevant results in a fraction of the time it would take using traditional text-based search methods. Additionally, embeddings capture the semantic meaning of the text, which helps improve the quality of the search results and enables more advanced natural language processing tasks.

About

Weaviate is an open-source, AI-native vector database for building search, RAG, and agentic AI applications. Store data objects alongside vector embeddings from your favorite ML models and scale seamlessly into billions of objects. Bring your own vectors or use built-in vectorization, then combine vector, keyword, and hybrid search for state-of-the-art results, even with filters. Pipe results through leading LLMs to power next-generation, retrieval-augmented experiences. Weaviate goes beyond the database: the Query Agent turns natural language into precise, cited queries, Engram provides managed memory for AI agents, and Weaviate Embeddings handles vectorization for you. Run it yourself under an open-source license, or use fully managed Weaviate Cloud on AWS, GCP, or Azure, with SOC 2 Type II compliance, multi-tenancy, and RBAC built in. Use any generative model with your own data to build chatbots, semantic search, recommendation, and agentic workflows.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone in need of a tool to save, search, store, manage, and retrieve text

Audience

Developers and AI teams building search, RAG, and agentic AI applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

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

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

VectorDB
United States
vectordb.com

Company Information

Weaviate
Founded: 2019
The Netherlands
weaviate.io

Alternatives

Alternatives

Embeddinghub

Embeddinghub

Featureform

Categories

Categories

Integrations

Agno
Airbyte
Amazon Bedrock
Astro by Astronomer
Azure Marketplace
Cleanlab
Comet
Composio
Gemini CLI
Haystack
IBM API Connect
LangChain
Mem0
Mistral AI
Model Context Protocol (MCP)
Patronus AI
Python
Replicate
Unstructured
Voyage AI

Integrations

Agno
Airbyte
Amazon Bedrock
Astro by Astronomer
Azure Marketplace
Cleanlab
Comet
Composio
Gemini CLI
Haystack
IBM API Connect
LangChain
Mem0
Mistral AI
Model Context Protocol (MCP)
Patronus AI
Python
Replicate
Unstructured
Voyage AI
Claim VectorDB and update features and information
Claim VectorDB and update features and information
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Claim Weaviate and update features and information