CodableAI - Alternatives & Competitors

Ranked by Relevance

• 1
  KDB.AI The Scalable Vector Database for AI

  KDB.AI is a scalable vector database designed for building production-grade AI applications, offering high uptime and low latency search capabilities.

  • Freemium
• 2
  Milvus The High-Performance Vector Database Built for Scale

  Milvus is an open-source vector database designed for GenAI applications. It offers high-speed searches and scales to billions of vectors with minimal performance loss.

  • Freemium
• 3
  Chroma The open-source AI application database with built-in embeddings and vector search capabilities

  Chroma is an open-source database solution designed specifically for AI applications, offering integrated embeddings, vector search, document storage, and multi-modal retrieval capabilities.

  • Free
• 4
  Zilliz Cloud High-Performance Vector Database Made Serverless.

  Zilliz Cloud is a fully-managed vector database service built on Milvus, designed for speed, scalability, and high performance in AI applications.

  • Freemium
  • From 99$
• 5
  VectorDB Lightweight Python package for vector search and storage.

  VectorDB is a lightweight Python library for efficient text storage and retrieval using vector search. Ideal for low-latency applications requiring semantic search capabilities.

  • Free
• 6
  Qdrant High-Performance Vector Search at Scale

  Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional vectors and massive-scale AI applications. It offers cloud-native scalability, ease of use, cost efficiency, and Rust-powered reliability.

  • Freemium
• 7
  Weaviate The AI-native database for a new generation of software

  Weaviate is an open-source vector database that enables developers to build AI-native applications with improved search capabilities, reduced hallucination, and enhanced data security. It supports hybrid search, RAG, and generative feedback loops.

  • Freemium
  • From 25$
• 8
  VecRank AI Vector Search + Rerank API with zero infrastructure

  VecRank AI offers a scalable, AI-driven search solution with vector search and reranking capabilities. It enhances natural language understanding and contextual relevance for developers and businesses.

  • Freemium
  • From 9$
• 9
  Vespa.ai Build and Run Large-Scale Enterprise AI Applications

  Vespa.ai is a platform for developing and running large-scale enterprise AI applications, leveraging big data, RAG, vector search, machine learning, and LLMs for fast and precise decision-making.

  • Free Trial
• 10
  client-vector-search Embed, store, and search vectors on the client side!

  client-vector-search enables developers to implement client-side semantic search using vector embeddings, offering fast computation and search capabilities directly in the browser.

  • Freemium
  • From 20$
• 11
  Vald A Highly Scalable Distributed Vector Search Engine

  Vald is a cloud-native, highly scalable distributed vector search engine using the NGT algorithm for fast approximate nearest neighbor searches. It features automatic indexing, backup, and horizontal scaling for handling billions of vectors.

  • Free
• 12
  Hyperspace Hyper search performance, lower costs

  Hyperspace is an elastic compatible cloud-native search database that combines vector and lexical search capabilities, delivering 10x faster performance through custom computing power.

  • Freemium
• 13
  searchable.ai A Unified Data Platform for Federated Search and AI Applications

  Searchable.ai provides a unified data platform that connects to leading SaaS platforms, parses and normalizes data, and powers federated search and AI applications.

  • Contact for Pricing
• 14
  Meilisearch Refreshingly simple search, enhanced by AI

  Meilisearch is a lightning-fast, flexible, and user-focused search engine enhanced by AI, designed for seamless integration into websites and applications.

  • Freemium
  • From 30$
• 15
  Devv.ai The next-Gen search engine for developers

  Devv.ai is an advanced search engine specifically designed for developers, offering intelligent code search capabilities powered by cutting-edge language models like GPT-4, Claude 3.5, and Gemini.

  • Freemium
  • From 15$
• 16
  Pinecone The Vector Database for Building Accurate and Performant AI Applications

  Pinecone is a leading vector database designed for creating and scaling high-performance, accurate AI applications. It offers a fully managed, scalable infrastructure for managing vector embeddings.

  • Freemium
  • From 25$
• 17
  Cloaked AI Encrypt Sensitive AI Data in Vector Databases Without Losing Functionality

  Cloaked AI secures sensitive AI data within vector databases through encryption, preserving data functionality and enabling secure querying of encrypted embeddings and metadata.

  • Contact for Pricing
• 18
  Trieve AI search for the modern world

  Trieve is an end-to-end AI-powered search and discovery platform that offers semantic vector search, hybrid search capabilities, and RAG experiences through a unified API.

  • Freemium
  • From 25$
• 19
  Embed API Create Custom Embeddings for Your Data

  Embed API offers an API for generating custom vector embeddings from text, images, and audio, designed to enhance AI applications and LLM performance.

  • Freemium
  • From 29$
• 20
  Context Data Building the Data Infrastructure for your Gen AI Applications

  Context Data provides a plug-and-play data infrastructure specifically built for Generative AI. It simplifies building Gen AI applications by managing vector databases, pipelines, and infrastructure.

  • Freemium
  • From 199$
• 21
  ApertureDB Unify multimodal data, knowledge graphs, and vector search for rapid AI deployments.

  ApertureDB is a purpose-built database designed to simplify the management of multimodal data for AI applications. It integrates multimodal data storage, knowledge graphs, and vector search to accelerate AI development.

  • Free Trial
  • From 238$
• 22
  Faiss Efficient Similarity Search and Clustering for Dense Vectors

  Faiss is a library developed by Meta AI for efficient similarity search and clustering of dense vectors, supporting large datasets and GPU acceleration.

  • Free
• 23
  Quasara 'Synapsis' The vectorisation engine that turns visual data into vector embeddings.

  Quasara 'Synapsis' is a vectorization engine that transforms visual data into vector embeddings. It's designed for applications in autonomous driving, infrastructure inspection, earth observation, and manufacturing.

  • Contact for Pricing