Best Infinity Alternatives in 2025
-

Solve AI hallucinations. Vectorize powers accurate, real-time AI agents & RAG pipelines with all your organizational data, including complex documents.
-

Asimov is a foundational AI search platform that enables developers to build powerful semantic search capabilities for AI agents and applications. It provides vector-based semantic search, content management with automatic chunking and embedding, and usage tracking with tiered limits.
-

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
-

Add powerful, multi-tenant AI search to your app fast! LiquidIndex handles the backend, so you don't have to.
-

LanceDB: Blazing-fast vector search & multimodal data lakehouse for AI. Unify petabyte-scale data to build & train production-ready AI apps.
-

Embedchain: The open-source RAG framework to simplify building & deploying personalized LLM apps. Go from prototype to production with ease & control.
-

Deep Lake: The AI database for deep learning. Stream, version & query unstructured data to accelerate model training & build accurate RAG systems.
-

Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.
-

Ragdoll AI simplifies retrieval augmented generation for no-code and low-code teams. Connect your data, configure settings, and deploy powerful RAG APIs quickly.
-

Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
-

Supercharge your AI applications with Zilliz's Milvus vector database. Deploy and scale your vector search apps hassle-free with Zilliz Cloud.
-

HelixDB is a high-performance database system designed with a focus on developer experience and efficient data operations. Built in Rust and powered by LMDB as its storage engine, it combines the reliability of a proven storage layer with modern features tailored for AI and vector-based 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.
-

FastEmbed is a lightweight, fast, Python library built for embedding generation. We support popular text models. Please open a Github issue if you want us to add a new model.
-

Captain: Deterministic, 95% accurate insights from enterprise data. Replace unreliable RAG with ultra-fast, verifiable context retrieval.
-

SQLite AI: The AI-native, distributed database for edge devices. Embed LLMs & vector search, sync data seamlessly, and scale your intelligent apps globally.
-

DeepSearcher: AI knowledge management for private enterprise data. Get secure, accurate answers & insights from your internal documents with flexible LLMs.
-

Tired of paying for ChatGPT? Want to have your own streaming AI chatbot, with your own engineered prompts running on your own servers or cloud? With Llama2, DocArray, and Jina, you can set it up in a few minutes!
-

CocoInsight is a companion tool that provides observability into your CocoIndex pipelines. It helps you visualize data transformations, understand lineage, compare configurations (like different chunking methods), and ultimately optimize your indexing strategy.
-

LlamaIndex builds intelligent AI agents over your enterprise data. Power LLMs with advanced RAG, turning complex documents into reliable, actionable insights.
-

Pinecone is the leading AI infrastructure for building accurate, secure, and scalable AI applications. Use Pinecone Database to store and search vector data at scale, or start with Pinecone Assistant to get a RAG application running in minutes.
-

Weaviate: The open source vector database powering AI apps. Fast vector search with structured filters. Flexible, scalable, production-ready for developers.
-

Accelerate reliable GenAI development. Ragbits offers modular, type-safe building blocks for LLM, RAG, & data pipelines. Build robust AI apps faster.
-

Accelerate LLM app development in Rust with Rig. Build scalable, type-safe AI applications using a unified API for LLMs & vector stores. Open-source & performant.
-

RAGFlow: The RAG engine for production AI. Build accurate, reliable LLM apps with deep document understanding, grounded citations & reduced hallucinations.
-

FalkorDB: Ultra-fast graph database. Achieve accurate GenAI with GraphRAG, eliminate LLM hallucinations, & scale 10K+ tenants with zero overhead.
-

Vearch: Hybrid vector search database. Combine similarity & scalar filters for precise AI results. Scale effortlessly. Python/Go SDKs.
-

Enable every developer to build production-grade GenAI applications with powerful and familiar SQL. Minimal Learning, Max Value, and Cost-Effective.
-

Connect external data to AI apps in minutes! Use the fastest way to link a retrieval engine for LLMs. With one API call, connect any data like websites, files. Built - in ingestion, processing, and syncing. Unified search, zero - setup vector database. Fair pricing, no markups. Join waitlist for early access.
-

Spykio: Get truly relevant LLM answers. Context-aware retrieval beyond vector search. Accurate, insightful results.
