A cloud-native vector database, storage for next generation AI applications
-
Updated
Aug 10, 2023 - Go
A cloud-native vector database, storage for next generation AI applications
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
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.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
The open big data serving engine. https://vespa.ai
Vector search for humans.
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
A distributed system for embedding-based vector retrieval
Open Source Free ATS Tool to compare Resumes with Job Descriptions and create a score to rank them.
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate).
Collections of vector search related libraries, service and research papers
Add a description, image, and links to the vector-search topic page so that developers can more easily learn about it.
To associate your repository with the vector-search topic, visit your repo's landing page and select "manage topics."