A cloud-native vector database, storage for next generation AI applications
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Updated
Apr 28, 2023 - Go
A cloud-native vector database, storage for next generation AI applications
Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/
Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Weaviate vector database – examples
Python client for Qdrant vector search engine
Main NNext Application Code
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Pinecone.io client with excellent TypeScript support.
Milvus management GUI
Visual and semantic vector similarity with Redis Stack, FastAPI, PyTorch and Huggingface.
Framework for benchmarking vector search engines
How to create Question-Answering system combining Langchain and OpenAI
Platform for unstructured data analysis
Awesome Weaviate
Relational Database for Unstructured Data
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