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Chroma

MLOps & Model Training active ★ 4.5 freemium · $0 + usage Free tier available Verified Feb 2025

Chroma is an open-source AI-native embedding database designed for large language model (LLM) applications. It simplifies the process of building LLM apps by providing tools for storing, embedding, and searching embeddings, enabling LLMs to have state and memory. Chroma focuses on developer productivity and happiness, offering a lightweight yet powerful solution for managing vector embeddings.

Pricing and features may have changed since our last review. Visit the official site for the latest info.
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Key Features

AI-Native Embedding DatabaseSpecifically designed for storing and querying vector embeddings, crucial for LLM applications to manage knowledge and context.
Open-SourceProvides transparency, flexibility, and community-driven development, allowing users to deploy on their own infrastructure.
Scalable Search CapabilitiesSupports vector, sparse vector, full-text, and metadata search, enabling comprehensive retrieval for diverse AI use cases.
Usage-Based Cloud PricingOffers a flexible pricing model with a free tier and usage-based billing, making it accessible for developers and scalable for enterprises.
LangChain IntegrationDeep integration with LangChain simplifies the development of LLM-powered applications by providing a robust vector store.

Use Cases

Pros

Cons

Pricing

PlanPrice
StarterFree
Team$250/monthly
EnterpriseFree

Works With

Comparisons

Tags

vector-databaseembeddingsllm-applicationsopen-source
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