Alternatives to Exa
Compare Exa alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Exa in 2026. Compare features, ratings, user reviews, pricing, and more from Exa competitors and alternatives in order to make an informed decision for your business.
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Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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Brave Search
Brave Software
Brave Search is a privacy-focused search engine from the creators of the Brave Browser. Brave Search does not currently show ads. Eventually it will have an ad-supported free model, or a paid model that does not show ads. Brave Search API: Power your search and AI applications with the fastest growing independent search engine since Bing. Access an index of billions of pages with a single API call. All users can get started for FREE for up to 1 query per second, and 2,000 queries per month. Brave is one of only a few global, independent search providers, and it’s the fastest growing search engine since Bing. Get access to high-quality data that’s actually usable. Build everything from search engines to AI apps. As the default engine in the Brave browser, Brave Search is consistently refreshed with new data via its Web Discovery Project contribution framework.Starting Price: Free -
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Firecrawl
Firecrawl
Firecrawl is a web data platform that enables developers and AI applications to search, scrape, and interact with websites at scale through a unified API. The platform extracts clean, structured content from web pages and delivers it in formats such as Markdown, JSON, screenshots, and other machine-readable outputs. Designed specifically for AI agents, Firecrawl allows systems to access real-time web information, navigate websites, and automate data collection workflows. It supports advanced features including JavaScript rendering, smart waiting, media parsing, and interactive page actions such as clicking, typing, and scrolling. Developers can integrate Firecrawl quickly using SDKs, APIs, MCP clients, and open-source tools. Trusted by thousands of companies, the platform helps organizations build reliable AI-powered applications that depend on accurate and accessible web data.Starting Price: $16 per month -
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Keenable
Keenable
Keenable is an independent web search infrastructure built for AI labs, inference platforms, agents, and developers that need fast, high-quality access to the live web. Its Search API gives AI systems a web-scale index of more than 100 billion documents and is designed for low-latency retrieval, with performance optimized for production agent workloads. Agents can search web pages and fetch page content through a REST API, MCP server, or command-line interface using the same account and API key. It continuously evaluates and improves search quality using its NEEDLE benchmark, which compares retrieval performance across search providers and measures results against an oracle ranking built from pooled results. For larger AI workloads, Keenable supports dedicated search capacity as well as cloud and on-premises deployment options. Its Time Machine capability extends retrieval beyond the current web by providing point-in-time search across historical versions of pages.Starting Price: $4 / 1000 requests -
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TinyFish
TinyFish
TinyFish is the web operating layer for AI agents, providing the infrastructure agents need to reliably access and operate across the live web. As AI applications evolve beyond text generation into autonomous systems that gather information, navigate websites, and complete multi-step tasks, fragmented automation stacks and custom-built infrastructure become difficult to maintain. TinyFish unifies web search, content extraction, browser infrastructure, and agentic web interaction within a single platform. Agents can search the live web, extract clean LLM-ready content from modern websites, render JavaScript-heavy pages, and execute authenticated workflows without stitching together multiple vendors or maintaining custom infrastructure. Built for production AI systems, TinyFish emphasizes accuracy, efficiency, freshness, and scalability. By providing clean web context and dependable execution across dynamic web environments, the platform helps developers build AI applications thatStarting Price: $0.016 -
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Perplexity Search API
Perplexity AI
Perplexity has launched the Perplexity Search API, giving developers access to the same global-scale indexing and retrieval infrastructure that powers Perplexity’s public answer engine. The API indexes hundreds of billions of webpages and is optimized for the unique demands of AI workflows; it breaks documents into fine-grained subunits so that responses return highly relevant snippets already ranked against the original query, reducing preprocessing and improving downstream performance. To maintain freshness, the index processes tens of thousands of updates every second using an AI-driven content understanding module that dynamically parses web content and iteratively self-improves via real-time query feedback. The API returns rich, structured responses suitable for both AI agents and traditional apps, rather than limited, document-level outputs. Alongside the API, Perplexity is releasing an SDK, an open source evaluation framework, and detailed research into their design. -
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You.com
You.com
You.com is an AI-powered search engine designed to provide a more personalized and efficient browsing experience. Unlike traditional search engines, You.com prioritizes user control, allowing individuals to customize their search preferences and filter results based on their needs. It integrates advanced artificial intelligence to deliver precise answers, summaries, and actionable insights, often drawing from trusted sources and real-time data. With an emphasis on privacy, You.com avoids tracking user behavior, making it a preferred choice for those seeking a secure, ad-free, and customizable search environment. Its unique interface also supports productivity by offering app-like integrations for tasks like coding, writing, and exploring creative content.Starting Price: Free -
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Gemini Embedding 2
Google
Gemini Embedding models, including the newer Gemini Embedding 2, are part of Google’s Gemini AI ecosystem and are designed to convert text, phrases, sentences, and code into numerical vector representations that capture their semantic meaning. Unlike generative models that produce new content, the embedding model transforms input data into dense vectors that represent meaning in a mathematical format, allowing computers to compare and analyze information based on conceptual similarity rather than exact wording. These embeddings enable applications such as semantic search, recommendation systems, document retrieval, clustering, classification, and retrieval-augmented generation pipelines. The model can process input in more than 100 languages and supports up to 2048 tokens per request, allowing it to embed longer pieces of text or code while maintaining strong contextual understanding.Starting Price: Free -
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Dekoo
Dekoo
Dekoo is the Asia's independent global search engine company offering Unique search, Unbiased results on the web having its own crawler, indexing, search and ranking algorithms along with AI/ML technologies with Tier 4 Datacenters and Content Delivery Network around the world. It aims to provide users with a comprehensive and efficient search experience with more local content, webstes, information on the web. One important aspect of Dekoo search engine is their ability to understand user intent. Modern search engines employ natural language processing techniques to better understand the meaning behind a user's query. This allows them to provide more relevant results. In addition to traditional web page results, search engines like Dekoo often provide additional features such as image search, video search, news results, and When a user enters a query into the search bar, the search engine's algorithm scans its index for relevant web pages and presents them in the search resultsStarting Price: Free -
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txtai
NeuML
txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.Starting Price: Free -
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YouPro
You.com
With YouPro, experience the freedom of unlimited access to cutting-edge AI models. You can search, code, write, and create images all in one place. Experience conversational web searches with more accurate and comprehensive results. AI advanced reasoning provides more insightful and reliable research. With access to our powerful AI art generator, you can create unlimited, vibrant images for emails, website copy, printed materials, and more. All copyright-free and royalty-free! Access to all AI models, including GPT-4o, OpenAI o1, and Claude 3.5 Sonnet. Unlimited file uploads, up to 50MB per query. Unlimited queries, including all AI models and Research and Custom Agents.Starting Price: $20/month -
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Mixedbread
Mixedbread
Mixedbread is a fully-managed AI search engine that allows users to build production-ready AI search and Retrieval-Augmented Generation (RAG) applications. It offers a complete AI search stack, including vector stores, embedding and reranking models, and document parsing. Users can transform raw data into intelligent search experiences that power AI agents, chatbots, and knowledge systems without the complexity. It integrates with tools like Google Drive, SharePoint, Notion, and Slack. Its vector stores enable users to build production search engines in minutes, supporting over 100 languages. Mixedbread's embedding and reranking models have achieved over 50 million downloads and outperform OpenAI in semantic search and RAG tasks while remaining open-source and cost-effective. The document parser extracts text, tables, and layouts from PDFs, images, and complex documents, providing clean, AI-ready content without manual preprocessing. -
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Bing Custom Search
Microsoft
An easy-to-use, ad-free, commercial-grade search tool that lets you deliver the results you want. Build a customized search that fits your needs. The Bing Custom Search API gives you powerful ranking, a global-scale search index, and document processing with fast, simple setup. The core technology works in four steps—by identifying on-topic sites and images, providing automatic query suggestions, applying the Bing ranker, and delivering relevant search results. Adjust the parameters and access usage insights anytime. Define the parts of the web you want to draw from so users only see relevant results from the domains, subsites, and web pages you choose. Explore site suggestions to expand the scope of your search domain. And harness the full power of Bing’s global-scale search index to get a holistic view of searches and ranking. Create a compelling search experience for content, such as web pages, images, and even autosuggested words.Starting Price: $4 per 1,000 transactions -
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Meii AI
Meii AI
Meii AI is a global leader in AI solutions, offering industry-trained Large Language Models that can be tuned accordingly with company-specific data and hosted privately or in your cloud. Our RAG ( Retrieval Augmented Generation ) based AI approach uses Embedded Model and Retrieval context ( Semantic Search ) while processing a conversational query to curate Insightful response that is specific for an Enterprise. Blended with our unique skills and decade long experience we had gained in Data Analytics solutions, we combine LLMs and ML Algorithms that offer great solutions for Mid level Enterprises. We are engineering a future that allows people, businesses, and governments to seamlessly leverage technology. With a vision to make AI accessible for everyone on the planet, our team is constantly breaking the barriers between machines and humans. -
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iAsk.ai
iAsk.ai
iAsk.Ai (i Ask AI) is an advanced free AI search engine that enables users to Ask AI any question, and receive an instant, accurate answer. The Free AI search engine utilizes similar technologies to ChatGPT, but in addition to it harnessing a highly optimized natural language processing (NLP) model, iAsk AI also consists of a fine-tuned, large-scale Transformer language-based model. This model has been exclusively trained on the most reliable and authoritative literature and website sources, enabling iAsk AI to answer questions objectively, factually, and without the potential bias that would otherwise be present in ChatGPT. Our free Ask artificial intelligence search engine enables users to ask questions in a natural language and receive detailed, accurate responses that address their exact queries, making it an excellent alternative to ChatGPT.Starting Price: $9.95/month -
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voyage-4-large
Voyage AI
The Voyage 4 model family from Voyage AI is a new generation of text embedding models designed to produce high-quality semantic vectors with an industry-first shared embedding space that lets different models in the series generate compatible embeddings so developers can mix and match models for document and query embedding to optimize accuracy, latency, and cost trade-offs. It includes voyage-4-large (a flagship model using a mixture-of-experts architecture delivering state-of-the-art retrieval accuracy at about 40% lower serving cost than comparable dense models), voyage-4 (balancing quality and efficiency), voyage-4-lite (high-quality embeddings with fewer parameters and lower compute cost), and the open-weight voyage-4-nano (ideal for local development and prototyping with an Apache 2.0 license). All four models in the series operate in a single shared embedding space, so embeddings generated by different variants are interchangeable, enabling asymmetric retrieval strategies. -
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Parallel
Parallel
The Parallel Search API is a web-search tool engineered specifically for AI agents, designed from the ground up to provide the most information-dense, token-efficient context for large-language models and automated workflows. Unlike traditional search engines optimized for human browsing, this API supports declarative semantic objectives, allowing agents to specify what they want rather than merely keywords. It returns ranked URLs and compressed excerpts tailored for model context windows, enabling higher accuracy, fewer search steps, and lower token cost per result. Its infrastructure includes a proprietary crawler, live-index updates, freshness policies, domain-filtering controls, and SOC 2 Type 2 security compliance. The API is built to fit seamlessly within agent workflows: developers can control parameters like maximum characters per result, select custom processors, adjust output size, and orchestrate retrieval directly into AI reasoning pipelines.Starting Price: $5 per 1,000 requests -
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ZeroEntropy
ZeroEntropy
ZeroEntropy is a search and retrieval platform built to deliver faster, more accurate, human-level search experiences. It provides cutting-edge rerankers, embeddings, and hybrid retrieval models that go beyond traditional lexical and vector search. ZeroEntropy focuses on understanding context, nuance, and domain-specific meaning rather than just keywords. Its models consistently outperform leading alternatives on industry benchmarks. Developers can integrate ZeroEntropy quickly using a simple, production-ready API. The platform is optimized for low latency, high accuracy, and cost efficiency. ZeroEntropy enables teams to ship search systems that actually return the right answers. -
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Cohere
Cohere AI
Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.Starting Price: Free -
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EmbeddingGemma
Google
EmbeddingGemma is a 308-million-parameter multilingual text embedding model, lightweight yet powerful, optimized to run entirely on everyday devices such as phones, laptops, and tablets, enabling fast, offline embedding generation that protects user privacy. Built on the Gemma 3 architecture, it supports over 100 languages, processes up to 2,000 input tokens, and leverages Matryoshka Representation Learning (MRL) to offer flexible embedding dimensions (768, 512, 256, or 128) for tailored speed, storage, and precision. Its GPU-and EdgeTPU-accelerated inference delivers embeddings in milliseconds, under 15 ms for 256 tokens on EdgeTPU, while quantization-aware training keeps memory usage under 200 MB without compromising quality. This makes it ideal for real-time, on-device tasks such as semantic search, retrieval-augmented generation (RAG), classification, clustering, and similarity detection, whether for personal file search, mobile chatbots, or custom domain use. -
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Cohere Embed
Cohere
Cohere's Embed is a leading multimodal embedding platform designed to transform text, images, or a combination of both into high-quality vector representations. These embeddings are optimized for semantic search, retrieval-augmented generation, classification, clustering, and agentic AI applications. The latest model, embed-v4.0, supports mixed-modality inputs, allowing users to combine text and images into a single embedding. It offers Matryoshka embeddings with configurable dimensions of 256, 512, 1024, or 1536, enabling flexibility in balancing performance and resource usage. With a context length of up to 128,000 tokens, embed-v4.0 is well-suited for processing large documents and complex data structures. It also supports compressed embedding types, including float, int8, uint8, binary, and ubinary, facilitating efficient storage and faster retrieval in vector databases. Multilingual support spans over 100 languages, making it a versatile tool for global applications.Starting Price: $0.47 per image -
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CiteSeerX
CiteSeerX
CiteSeerx uses Solr as its core search engine. Solr is based upon Lucene; a good overview of the supported query syntax may be obtained by reading the Lucene query parser syntax. CiteSeerx supports Proximity and Boolean queries. Please note that adjacent words will default to one word proximity. Unlike the old CiteSeer system, citations and full documents are included within the same index in CiteSeerx. By default, citations for which we have no accompanying document file will not show up in search results.Starting Price: Free -
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LangSearch
LangSearch
Connect your LLM applications to the world, and access clean, accurate, high-quality context. Get enhanced search details from billions of web documents, including news, images, videos, and more. It achieves ranking performance of 280M~560M models with only 80M parameters, offering faster inference and lower cost. -
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Oracle AI Vector Search
Oracle
Oracle AI Vector Search is a capability within Oracle Database designed for AI workloads that enables querying data based on semantics or meaning rather than traditional keyword matching. It allows organizations to search both structured and unstructured data using similarity search, making it possible to retrieve results based on contextual relevance instead of exact values. It uses vector embeddings to represent data such as text, images, or documents, and applies specialized vector indexes and distance functions to efficiently identify similar items. It introduces a native VECTOR data type, along with SQL operators and syntax that allow developers to combine semantic search with relational queries on business data in a single database environment. This eliminates the need for separate vector databases and reduces data fragmentation by keeping AI and operational data unified. -
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E5 Text Embeddings
Microsoft
E5 Text Embeddings, developed by Microsoft, are advanced models designed to convert textual data into meaningful vector representations, enhancing tasks like semantic search and information retrieval. These models are trained using weakly-supervised contrastive learning on a vast dataset of over one billion text pairs, enabling them to capture intricate semantic relationships across multiple languages. The E5 family includes models of varying sizes—small, base, and large—offering a balance between computational efficiency and embedding quality. Additionally, multilingual versions of these models have been fine-tuned to support diverse languages, ensuring broad applicability in global contexts. Comprehensive evaluations demonstrate that E5 models achieve performance on par with state-of-the-art, English-only models of similar sizes.Starting Price: Free -
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BGE
BGE
BGE (BAAI General Embedding) is a comprehensive retrieval toolkit designed for search and Retrieval-Augmented Generation (RAG) applications. It offers inference, evaluation, and fine-tuning capabilities for embedding models and rerankers, facilitating the development of advanced information retrieval systems. The toolkit includes components such as embedders and rerankers, which can be integrated into RAG pipelines to enhance search relevance and accuracy. BGE supports various retrieval methods, including dense retrieval, multi-vector retrieval, and sparse retrieval, providing flexibility to handle different data types and retrieval scenarios. The models are available through platforms like Hugging Face, and the toolkit provides tutorials and APIs to assist users in implementing and customizing their retrieval systems. By leveraging BGE, developers can build robust and efficient search solutions tailored to their specific needs.Starting Price: Free -
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spaCy
spaCy
spaCy is designed to help you do real work, build real products, or gather real insights. The library respects your time and tries to avoid wasting it. It's easy to install, and its API is simple and productive. spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to process entire web dumps, spaCy is the library you want to be using. Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack, and build custom components and workflows. Components for named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking, and more. Easily extensible with custom components and attributes. Easy model packaging, deployment, and workflow management.Starting Price: Free -
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NVIDIA NeMo Retriever
NVIDIA
NVIDIA NeMo Retriever is a collection of microservices for building multimodal extraction, reranking, and embedding pipelines with high accuracy and maximum data privacy. It delivers quick, context-aware responses for AI applications like advanced retrieval-augmented generation (RAG) and agentic AI workflows. As part of the NVIDIA NeMo platform and built with NVIDIA NIM, NeMo Retriever allows developers to flexibly leverage these microservices to connect AI applications to large enterprise datasets wherever they reside and fine-tune them to align with specific use cases. NeMo Retriever provides components for building data extraction and information retrieval pipelines. The pipeline extracts structured and unstructured data (e.g., text, charts, tables), converts it to text, and filters out duplicates. A NeMo Retriever embedding NIM converts the chunks into embeddings and stores them in a vector database, accelerated by NVIDIA cuVS, for enhanced performance and speed of indexing. -
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Filechat
Filechat
Filechat is the perfect tool to explore documents using artificial intelligence. Simply upload your PDF and start asking questions to your personalized chatbot. Upload research papers, books, newspapers, study guides, manuals, and more! Direct citations are pulled from the document to support the chatbot's answer. Filechat works by turning your documents into what are called "word embeddings". These embeddings allow you to search by semantic meaning instead of by the exact language. This is incredibly useful when trying to understand unstructed text information, such as textbooks, documentation, and others. -
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Codestral Embed
Mistral AI
Codestral Embed is Mistral AI's first embedding model, specialized for code, optimized for high-performance code retrieval and semantic understanding. It significantly outperforms leading code embedders in the market today, such as Voyage Code 3, Cohere Embed v4.0, and OpenAI’s large embedding model. Codestral Embed can output embeddings with different dimensions and precisions; for instance, with a dimension of 256 and int8 precision, it still performs better than any model from competitors. The dimensions of the embeddings are ordered by relevance, allowing users to choose the first n dimensions for a smooth trade-off between quality and cost. It excels in retrieval use cases on real-world code data, particularly in benchmarks like SWE-Bench, which is based on real-world GitHub issues and corresponding fixes, and Text2Code (GitHub), relevant for providing context for code completion or editing. -
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Bing News Search API
Microsoft
Search the web for news articles with Bing News Search API v7. Results include details like the authoritative image of the news article, related news and categories, provider info, article URL, and date added. With the API v7, discover new sorting and filtering options that simplify finding specific results in trending news topics. Turn your app or website into a news search resource. Customize trending news from around the world by category and region. Categorize news searches by topics such as the world, politics, sports, and more. Inform your strategic decisions with the Bing Statistics add-in. Quickly retrieve statistics such as your top queries, call volume, market distribution, response code summary, and many more. Empower your retail search with Microsoft Bing for Commerce. Request a consultation to learn how machine learning and AI-driven search can drive sales. Enable safe, ad-free, location-aware search results, surfacing relevant information from billions of web documents.Starting Price: $7 per 1,000 transactions -
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word2vec
Google
Word2Vec is a neural network-based technique for learning word embeddings, developed by researchers at Google. It transforms words into continuous vector representations in a multi-dimensional space, capturing semantic relationships based on context. Word2Vec uses two main architectures: Skip-gram, which predicts surrounding words given a target word, and Continuous Bag-of-Words (CBOW), which predicts a target word based on surrounding words. By training on large text corpora, Word2Vec generates word embeddings where similar words are positioned closely, enabling tasks like semantic similarity, analogy solving, and text clustering. The model was influential in advancing NLP by introducing efficient training techniques such as hierarchical softmax and negative sampling. Though newer embedding models like BERT and Transformer-based methods have surpassed it in complexity and performance, Word2Vec remains a foundational method in natural language processing and machine learning research.Starting Price: Free -
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Serper
Serper
Serper.dev offers an industry-leading SERP API, delivering lightning-fast Google search results in 1-2 seconds. The platform supports various search types, including images, news, maps, places, videos, shopping, scholar, patents, and autocomplete. Users can experience unparalleled speed with Serper's API, which provides real-time results without caching, ensuring the most up-to-date information. The service allows customization of search queries by specifying country, language, and more precise areas like cities or neighborhoods. Serper.dev offers a free tier of 2,500 queries with no credit card required, allowing users to test the service before committing. The platform's simple, affordable pricing operates on a top-up model, with no monthly subscriptions; users pay for the credits they need, and the more they order, the lower the cost per query. Serper.dev's API is designed to be user-friendly, with quick integration and high performance.Starting Price: $50 per month -
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TopK
TopK
TopK is a serverless, cloud-native, document database built for powering search applications. It features native support for both vector search (vectors are simply another data type) and keyword search (BM25-style) in a single, unified system. With its powerful query expression language, TopK enables you to build reliable search applications (semantic search, RAG, multi-modal, you name it) without juggling multiple databases or services. Our unified retrieval engine will evolve to support document transformation (automatically generate embeddings), query understanding (parse metadata filters from user query), and adaptive ranking (provide more relevant results by sending “relevance feedback” back to TopK) under one unified roof. -
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AvesAPI
AvesAPI
Use the Best Google Search API and scrape Top-100 results in real-time with the most reliable, lightning-fast, and lowest-cost SERP API in the world! Our SERP API allows you to retrieve HTML results from Google by any device and location regarding your query. If you already have your own parser then the HTML export option would be the best fit for your business. If you don't have a parser and you need structured data then JSON export would be the best choice for your business. Our structured SERP data contains almost all major SERP features such as videos, images, maps, answer-box etc. We use pay-per-request pricing model. You don’t need to subscribe any package. You only pay upon successful requests. So you save your money. Extracting shopping data is so easy with AvesAPI. You can export shopping data from Google by using our smart SERP data parser. Use JSON export and extract all the features regarding a product like title, description, pricing, category, related products, and more.Starting Price: $50 per month -
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Amazon S3 Vectors
Amazon
Amazon S3 Vectors is the first cloud object store with native support for storing and querying vector embeddings at scale, delivering purpose-built, cost-optimized vector storage for semantic search, AI agents, retrieval-augmented generation, and similarity-search applications. It introduces a new “vector bucket” type in S3, where users can organize vectors into “vector indexes,” store high-dimensional embeddings (representing text, images, audio, or other unstructured data), and run similarity queries via dedicated APIs, all without provisioning infrastructure. Each vector may carry metadata (e.g., tags, timestamps, categories), enabling filtered queries by attributes. S3 Vectors offers massive scale; now generally available, it supports up to 2 billion vectors per index and up to 10,000 vector indexes per bucket, with elastic, durable storage and server-side encryption (SSE-S3 or optionally KMS). -
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Findkit
Findkit
Findkit is an ultimate site search solution that's adaptable, fast, and exceptionally simple to deploy. Whether you manage a single domain or a network of websites, Findkit's cloud-based crawler and scalable search API can integrate vast amounts of data into a cohesive search index in just minutes. With Findkit, you get a CORS-compatible API and an open-source JavaScript UI library, making it easy to create a seamless search interface tailored to your needs. Plus, it's fully compatible with any framework or CMS, boasting an additional WordPress plugin for even more convenience. Findkit is a white-label product. Take advantage of Findkit's free plan to experience the benefits without upfront costs. Customize your search with language-aware indexing, content tagging, and real-time updates to keep your index aligned with your site's content. As your needs grow, Findkit's simple pricing scales with you, offering larger index sizes and enhanced support at competitive rates.Starting Price: €59/month -
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Zenserp
Zenserp
Our SERP API enables you to scrape search engine result pages in realtime. Through google search API services, you can do Standard search, image search, news search, maps search, news search, etc.Starting Price: $29 per month -
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Marqo
Marqo
Marqo is more than a vector database, it's an end-to-end vector search engine. Vector generation, storage, and retrieval are handled out of the box through a single API. No need to bring your own embeddings. Accelerate your development cycle with Marqo. Index documents and begin searching in just a few lines of code. Create multimodal indexes and search combinations of images and text with ease. Choose from a range of open source models or bring your own. Build interesting and complex queries with ease. With Marqo you can compose queries with multiple weighted components. With Marqo, input pre-processing, machine learning inference, and storage are all included out of the box. Run Marqo in a Docker image on your laptop or scale it up to dozens of GPU inference nodes in the cloud. Marqo can be scaled to provide low-latency searches against multi-terabyte indexes. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images.Starting Price: $86.58 per month -
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Voyage AI
MongoDB
Voyage AI provides best-in-class embedding models and rerankers designed to supercharge search and retrieval for unstructured data. Its technology powers high-quality Retrieval-Augmented Generation (RAG) by improving how relevant context is retrieved before responses are generated. Voyage AI offers general-purpose, domain-specific, and company-specific models to support a wide range of use cases. The models are optimized for accuracy, low latency, and reduced costs through shorter vector dimensions. With long-context support of up to 32K tokens, Voyage AI enables deeper understanding of complex documents. The platform is modular and integrates easily with any vector database or large language model. Voyage AI is trusted by industry leaders to deliver reliable, factual AI outputs at scale. -
41
SeekStorm
SeekStorm
SeekStorm - Search as a Service: high-performance search API provides full-text, real-time, instant search & crawling. 20x speed and 200x payload compared to Lucene; 30x more queries & docs per $ spent than other SaaS.Starting Price: $19/month -
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Yandex Search API
Yandex
Search API provides access to three search types (Russian, Turkish, and international) and can be used to develop a search for a site, a group of sites, or an entire network. Search API provides access to Russian, Turkish, and international search types. The search type determines both the ranking formula and the search database, a set of documents a search is made across. Search API supports the indexing of text pages and documents. The index is updated every few days, and its composition is constantly expanding. The speed of responses to requests is less than one second. The service has virtually no restrictions on the number of requests per day or per month. Save yourself the trouble of developing and maintaining a crawler, and of battling with both. You simply integrate the API into your products without having to configure servers. Search API automatically scales to your workload. -
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EmbeddingGemma 2
Google
EmbeddingGemma 2 is an open, lightweight multimodal embedding model designed to map text, code, images, video, and audio into a shared embedding space for search, retrieval, classification, routing, and RAG applications. Built on the Gemma 4 architecture and released under the Apache 2.0 license, it has 740 million parameters and is optimized for on-device inference. Its modular design can use as little as 270M parameters for text-only workloads, with optional vision and audio encoders for full multimodal support. Matryoshka Representation Learning lets developers reduce output vectors from 768 dimensions to 512, 256, or 128, lowering storage and memory requirements for local vector databases. The model supports an 8K-token context window and can process up to 5.5 minutes of audio, 29 images, 58 video frames, or interleaved combinations on local hardware. -
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Universal Sentence Encoder
Tensorflow
The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications. -
45
Superlinked
Superlinked
Combine semantic relevance and user feedback to reliably retrieve the optimal document chunks in your retrieval augmented generation system. Combine semantic relevance and document freshness in your search system, because more recent results tend to be more accurate. Build a real-time personalized ecommerce product feed with user vectors constructed from SKU embeddings the user interacted with. Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook. -
46
Reserp
Reserp
Reserp is a Google Search API that provides search results for applications, AI agents, research, SEO and data workflows. Developers can access all search verticals such as web, image, news, video and shopping search data. A free tier and usage-based pricing are available.Starting Price: $0.75 per 1,000 requests -
47
Linkup
Linkup
Linkup is an AI tool designed to enhance language models by enabling them to access and interact with real-time web content. By integrating directly with AI pipelines, Linkup provides a way to retrieve relevant, up-to-date data from trusted sources 15 times faster than traditional web scraping methods. This allows AI models to answer queries with accurate, real-time information, enriching responses and reducing hallucinations. Linkup supports content retrieval across multiple media formats including text, images, PDFs, and videos, making it versatile for a wide range of applications, from fact-checking and sales call preparation to trip planning. The platform also simplifies AI interaction with web content, eliminating the need for complex scraping setups and cleaning data. Linkup is designed to integrate seamlessly with popular LLMs like Claude and offers no-code options for ease of use.Starting Price: €5 per 1,000 queries -
48
Felo
Felo Search
Felo Search is an AI-driven search engine optimized for discovering and understanding global knowledge. It quickly summarizes detailed answers from information sources, so you can ask any question, and it will search the internet to provide you with understandable and verifiable answers. It helps you expand your knowledge, offering personalized insights and information. Felo Search is the best tool for efficiently obtaining information accurately and without bias. Whether you are seeking quick answers, conducting in-depth research, or looking for the context of an event, it meets your needs. It excels at answering various questions using bilingual responses, from simple to complex queries. Quickly grasp the key points of information sources, providing structured summaries and extracting crucial information. Offers detailed and comprehensive answers for various research topics. Felo Search can conduct a comprehensive search based on the user's bilingual queries.Starting Price: $14.99 per month -
49
Google
Google
Our mission is to organize the world's information so that everyone can access and use it. Every time you search, there are thousands, sometimes millions, of webpages with helpful information. How Google figures out which results to show starts long before you even type, and is guided by a commitment to you to provide the best information. Even before you search, Google organizes information about webpages in our Search index. The index is like a library, except it contains more info than in all the world’s libraries put together. In a fraction of a second, Google’s Search algorithms sort through hundreds of billions of webpages in our Search index to find the most relevant, useful results for what you’re looking for. To help you find what you’re looking for quickly, Google provides results in many useful formats. Whether presented as a map with directions, images, videos or stories, we’re constantly evolving with new ways to present information.Starting Price: Free -
50
CatchAll
NewsCatcher
CatchAll is a recall-first web search API built to find every real-world event, not just the top-ranked result. It searches 2+ billion web pages, including press releases, business announcements, trade publications, industry blogs, and local news, to surface complete answer sets for high-stakes research questions. Each query returns tens of thousands of candidate pages, validated with AI for relevance and credibility, deduplicated through graph-based clustering, and structured into clean datasets with entities, amounts, dates, and citations. In benchmarks, CatchAll surfaced 64.5% more true positives than the next-best competitor and far outpaced generic AI research tools on completeness. Continuous monitoring (daily, weekly, or real-time) turns one-off searches into ongoing intelligence feeds, built for enumeration tasks where recall, not ranking, is what matters.Starting Price: $50/month
