Best faiss Alternatives in 2024
-
Discover the client-vector-search library: embed, store, search, and cache vectors effortlessly. Enhance your applications with efficient vector search capabilities.
-
USearch is a highly efficient and compact single-file similarity search engine designed for vectors and upcoming text applications.
-
Discover Milvus, the popular vector database for enterprise users. Store, index, and manage large-scale embedding vectors with ease. Boost retrieval speed and create similarity search services using Milvus' advanced SDKs and indexing algorithms. Perfect for machine learning deployments and managing large-scale vector datasets.
-
Supercharge your AI applications with Zilliz's Milvus vector database. Deploy and scale your vector search apps hassle-free with Zilliz Cloud.
-
Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.
-
Discover the Alexandria platform's powerful solution for embedding and analyzing vast amounts of textual data, driving innovation and informed decisions.
-
Vald: A scalable, high-performance AI search engine for recommendation systems, translation, and image recognition tasks. Automate indexing and enhance search capabilities with Vald.
-
pgvector: An open-source vector similarity search tool for Postgres. Store vectors with data, support exact & approximate search, and perform distance calculations. Suitable for recommendation systems, image/text retrieval, and anomaly detection.
-
Discover Pinecone, the serverless vector database for advanced AI. Perform low-latency vector search, update in real-time, and achieve optimal results.
-
Caffe is a deep learning framework made with expression, speed, and modularity in mind.
-
Discover Cosine, the AI knowledge engine for developers. Get code assistance, explanations, and suggestions to enhance your coding experience.
-
Effortlessly manage data with Similarix AI tool. Integrate with S3 for semantic search, deduplication, and more. Optimize data organization now!
-
Powering the next generation of AI applications with advanced and high-performant vector similarity
-
Discover Vespa, the powerful AI tool combining search engine capabilities and machine learning. Build recommendation systems, personalize experiences, and enable conversational AI with ease.
-
Build vector search and hybrid search with Elasticsearch's open source vector database — from the leaders in BM25 text search. Try Elasticsearch's vector database, free....
-
Simon is a Python library that powers your entire semantic search stack: OCR, ingest, semantic search, extractive question answering, textual recommendation, and AI chat. All open source (Apache 2.0), all on a Postgres instance.
-
ggml is a tensor library for machine learning to enable large models and high performance on commodity hardware.
-
Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.
-
Ximilar is a image processing tool that offers ready-to-use and custom-made solutions for Image Reco
-
Supercharge your AI projects with DeepSpeed - the easy-to-use and powerful deep learning optimization software suite by Microsoft. Achieve unprecedented scale, speed, and efficiency in training and inference. Learn more about Microsoft's AI at Scale initiative here.
-
Say goodbye to complex MLOps pipelines and specialized vector databases. Integrate and train AI directly with your preferred database, only using Python.
-
OpenMMLab is an open-source platform that focuses on computer vision research. It offers a codebase
-
Store and search data efficiently with Weaviate, an open-source vector database. Ideal for semantic search, generative AI, and NLP tasks.
-
Similar.ai is an intelligent SEO platform that automatically discovers customer intent, cleans and r
-
Consensus is a search engine that uses AI to instantly extract, aggregate, and distill findings directly from scientific research.
-
Chroma: Open-source vector database with a user-friendly API for document management and efficient queries. Perfect for content recommendation and similarity search.
-
Discover a powerful machine learning algorithm that combines classification and clustering to analyze data efficiently. Improve decision-making with predictive models and data visualizations. Ideal for marketing, finance, healthcare, and engineering.
-
Unlock the power of semantic search with txtai, an open-source platform that uses language models to understand natural language and find meaningful results.
-
lightweight, standalone C++ inference engine for Google's Gemma models.
-
Enable every developer to build production-grade GenAI applications with powerful and familiar SQL. Minimal Learning, Max Value, and Cost-Effective.