Weaviate
Qdrant
Milvus
pgvecto.rs
Zilliz
txtai
Vespa.ai
EVA DB
Datumo Eval
Braintrust
Braintrust.dev
LangSmith
LangChain
Athina AI
Galileo AI
Galileo
The only LLM-based synthetic dataset-building and evaluation platform. Automatically generate golden question sets using high-quality default or custom metrics. Evaluate and enhance your LLM models and LLM-powered services with Datumo Eval.
Weaviate Datumo EvalNo Datumo Eval videos yet. You could help us improve this page by suggesting one.
Based on our record, Weaviate seems to be more popular. It has been mentiond 35 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / 8 days ago
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... - Source: dev.to / 10 days ago
In this post, we'll explore how to achieve a similar result using Weaviate and its cross-references feature, integrated with LangChain. We'll leverage Weaviate's ability to create cross-references between data objects to efficiently retrieve original documents by querying their summaries. - Source: dev.to / 6 months ago
Weaviate (https://weaviate.io/)| hiring for Engineering | Remote | Full-time Weaviate is an AI-native vector database that helps customers with hybrid search, RAG, and generative feedback loops. Check out the open-source project here: https://github.com/weaviate/weaviate - Go experience required. Not afraid to work up the stack as needed Research Engineer -... - Source: Hacker News / 8 months ago
Weaviate is an AI-native database designed to help you build amazing, scalable, and production-grade AI-powered applications. It offers robust features for data storage, retrieval, and querying as well as integrations with AI models, making it an excellent choice for developers looking to integrate AI capabilities into their apps. - Source: dev.to / 8 months ago
Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Braintrust - Braintrust connects companies with top technical talent to complete strategic projects and drive innovation. Our AI Recruiter can 100x your recruiting power.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Braintrust.dev - Rapidly ship AI without guesswork
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
LangSmith - Build and deploy LLM applications with confidence
