vector-search

A cloud-native vector database, storage for next generation AI applications

Open Source alternative to Algolia and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

Qdrant - Vector Search Engine and 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.

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

💡 Semantic search and workflows powered by language models

Tensor search for humans.

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

🧠 AI-powered search engine for your organization 🔎

🧬 The data structure for multimodal data · Neural Search · Vector Search · Document Store

A distributed system for embedding-based vector retrieval

Collections of vector search related libraries, service and research papers

🧞 No-code tool for creating a neural search solution in minutes

Multi-Modal Neural Networks for Semantic Search, based on Mid-Fusion Vision-Language Transformers

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Replacing MongoDB, Neo4J, and Elastic with 1 transactional database. Features: zero-copy semantics, swappable backends, bindings for C, C++, Python, Java, GoLang

📑 Neural Search

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

GPTCache is a library for creating semantic cache to store responses from LLM queries.