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  1. Stackups
  2. Application & Data
  3. Databases
  4. Vector Databases
  5. Chroma vs Qdrant

Chroma vs Qdrant

OverviewComparisonAlternatives

Overview

Qdrant
Qdrant
Stacks54
Followers20
Votes0
GitHub Stars26.9K
Forks1.9K
Chroma
Chroma
Stacks52
Followers15
Votes0
GitHub Stars24.2K
Forks1.9K

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Detailed Comparison

Qdrant
Qdrant
Chroma
Chroma

It is an open-source Vector Search Engine and Vector Database written in Rust. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more.

It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.

Easy to use API; Fast and accurate; Advanced filtering; Rich data types; Cloud-native and horizontally scaleable; Efficient & performant
Fully-typed, fully-tested, fully-documented; Dev, Test, Prod: the same API that runs in your Python notebook, scales to your cluster; Feature-rich; Free & open source
Statistics
GitHub Stars
26.9K
GitHub Stars
24.2K
GitHub Forks
1.9K
GitHub Forks
1.9K
Stacks
54
Stacks
52
Followers
20
Followers
15
Votes
0
Votes
0
Integrations
Rust
Rust
FastAPI
FastAPI
Golang
Golang
Transformers
Transformers
Cohere
Cohere
Jina
Jina
LlamaIndex
LlamaIndex
Python
Python
JavaScript
JavaScript
LangChain
LangChain

What are some alternatives to Qdrant, Chroma?

Sphinx

Sphinx

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

MkDocs

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Lucene

Lucene

Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.

Milvus

Milvus

Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

Clever AI Humanizer

Clever AI Humanizer

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

LangChain

LangChain

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

Google

Google

Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.

Ollama

Ollama

It allows you to run open-source large language models, such as Llama 2, locally.

LlamaIndex

LlamaIndex

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

YugabyteDB

YugabyteDB

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

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