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Qdrant Alternatives
Similar projects and alternatives to qdrant
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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supabase
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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Grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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txtai
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
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Zulip
Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
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Milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
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google-search-results-nodejs
SerpApi client library for Node.js. Previously: Google Search Results Node.js.
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manticoresearch
Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon
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zincsearch
ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
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SaaSHub
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qdrant discussion
qdrant reviews and mentions
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The Backend Shift: Leveraging Open Source Powerhouses for Faster, Leaner Apps
Weaviate (weaviate.io) / Qdrant (qdrant.tech):
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10 open-source MCPs that make your AI agents smarter than your team lead
Qdrant — open-source and super developer-friendly
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The ultimate open source stack for building AI agents
Qdrant — Rust-powered, fast, with filtering & hybrid search.
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Build Code-RAGent, an agent for your codebase
The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by OpenAI, LinkUp, LlamaIndex, Qdrant, FastAPI and Streamlit. The building of this project was aimed at providing a reproducible and adaptable agent, that people can therefore customize based on their needs, and it was composed of three phases:
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Ingest (almost) any non-PDF document in a vector database, effortlessly
Qdrant is an easy-to-set-up, highly performing and scalable vector database, that offers numerous functionalities (among which hybrid search and metadata filtering).
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Why You Shouldn’t Invest In Vector Databases?
In cases where a company possesses a strong technological foundation and faces a substantial workload demanding advanced vector search capabilities, its ideal solution lies in adopting a specialized vector database. Prominent options in this domain include Chroma (having raised $20 million), Zilliz (having raised $113 million), Pinecone (having raised $138 million), Qdrant (having raised $9.8 million), Weaviate (having raised $67.7 million), LanceDB (YC W22), Vespa, Marqo, and others. Many of these players have secured significant funding in recent years and are well-positioned to capture notable market share. These vector databases offer efficient storage, indexing, and similarity search functionalities for vectors. They often incorporate specific optimizations tailored for vector data, such as similarity search based on inverted indexes and efficient vector computations. As a result, they cater to the requirements of companies operating in areas like recommendation systems, image search, and natural language processing.
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Preview 2 of .NET AI Chat Web App Template Now Available
/filters:no_upscale()/news/2025/04/microsoft-dotnet-ai-template-p2/en/resources/1use-aspire-orchestration-1745167526397.png) A notable addition in Preview 2 is the support for .NET Aspire, enhancing the development toolkit with advanced AI capabilities. The Qdrant vector database can be utilized alongside .NET Aspire to create scalable applications. The template continues to utilize the Retrieval Augmented Generation (RAG) pattern for chat applications while adding new features tailored for .NET Aspire.
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CocoIndex Changelog 2025-04-05
@Anush008 from qdrant made their first contribution in #182. We are super excited for the upcoming official integration from our friends at qdrant!
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Building Your Own RAG System: Enhancing Claude with Your Documentation
Qdrant is a vector database optimized for storing and searching these embeddings.
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Revolutionizing Remote Coding Interviews: A React Vite Template
View the Project on GitHub
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A note from our sponsor - SaaSHub
www.saashub.com | 16 May 2025
Stats
qdrant/qdrant is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of qdrant is Rust.