Researched and Edited by Rajat Gupta
Last updated: September 26, 2026 · How we review
Retrieval Augmented Generation (RAG) Software overview
Spotsaas tracks 18 products in Retrieval Augmented Generation (RAG) Software, ranked by SpotScore — a blend of feature coverage, verified review ratings, and value. 2 let you start on a free trial, and 14 keep a free plan you can stay on. Most buyers here are Application engineers adding grounded answers to a product and choosing between assembling the pipeline and buying it whole.
- 18
- products listed
- 2
- offer a free trial
- 14
- have a free plan
- 16
- priced per subscription
- 17
- quote on request
Who gets the most from Retrieval Augmented Generation (RAG) Software
- 1Application engineers adding grounded answers to a product and choosing between assembling the pipeline and buying it whole
- 2Machine learning engineers whose retrieval quality has stalled and who are deciding between a better embedding model and a reranking step
- 3Data engineers responsible for turning a document archive into something a model can read reliably at volume
How to choose Retrieval Augmented Generation (RAG) Software
Start by naming the layer you are missing. If an agent needs live web results, the question is a search API and the published rates are directly comparable: Exa lists $4 per 1,000 lite searches, Parallel from $1 per 1,000 requests, Tavily $0.008 per credit and Linkup from $0.005 per search. If the problem is that your PDFs arrive as noise, it is a parsing purchase instead, and there the rates are per page: Unstructured at $0.015, Reducto from $1 per 1,000 pages on its smaller model, Contextual AI at $3 per 1,000 for basic text. If you are standing up the whole sequence and do not want to assemble it, look at the managed pipelines, where Ragie, Morphik and Vectara each sell ingestion, search, ranking and answering as one service. If you already have a store and your results are simply poor, the cheapest fix is usually a reranker rather than a rebuild: Voyage AI, ZeroEntropy and mixedbread all publish per-token rates for that one step. Then test on your own documents before you commit. Published parsing rates assume clean input, and the mode you will actually need on scans and tables often costs several times the headline figure. Finally, check where it can run. Unstructured, Morphik, Reducto and ZeroEntropy all offer a deployment inside your own cloud or on your own hardware, which is the only workable answer when the content cannot be sent anywhere.
Showing 1-18 out of 18
9.0
SpotScore
LlamaIndex
Open-source data framework for building LLM applications over private and enterprise data
Best for: SMB teams
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What is LlamaIndex?
LlamaIndex is an open-source data framework for building LLM-powered applications over private and enterprise data. It provides the tools to ingest, structure, and retrieve data for LLM context: document loaders for 100+ data sources, chunking and indexing pipelines, retrieval strategies ...
Read more about LlamaIndexStarts from Freefree, also offers free forever plan
Contextual AI
A managed retrieval platform sold as composable parts
Best for: SMB teams · Mid-market · Enterprise
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What is Contextual AI?
Contextual AI sells a hosted platform for agents that answer from a customer’s own documents, covering query optimisation, retrieval, reranking, filtering, generation and a groundedness check, with prebuilt agent templates. The same pieces are also sold separately for teams that keep their own ...
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What is Amazon Kendra?
Amazon Kendra is an index service rather than a packaged application: a developer provisions capacity, points connectors at sources such as Confluence, SharePoint, Salesforce and Google Drive, then calls a query API for search or a retrieve API to ground a generated answer. Billing follows ...
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ZeroEntropy
Rerankers and embeddings trained for production retrieval
Best for: SMB teams · Mid-market · Enterprise
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What is ZeroEntropy?
ZeroEntropy trains reranking and embedding models and runs a search API on top of them. The model line covers zerank-2 in three sizes and the zembed-1 embedding model, alongside custom work on context compression, query rewriting and fine-tuning. Access is an API key with Python and TypeScript ...
Read more about ZeroEntropyStarts from $0.025/1M tokens when monthly
Voyage AI
Embedding and reranking models billed per token
Best for: SMB teams · Mid-market · Enterprise
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What is Voyage AI?
Voyage AI supplies the embedding and reranking models a retrieval pipeline runs on, now published under MongoDB. The range covers general text, long context, code, finance and legal variants, and rerankers in full and light sizes. Access is consumption based through the company’s own endpoint, ...
Read more about Voyage AIStarts from $0.02/1M tokens when monthly, also offers free forever plan
Morphik
Multimodal document ingestion and research queries
Best for: SMB teams · Mid-market · Enterprise
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What is Morphik?
Morphik ingests documents, including their images and layout, and answers questions over them, with a research agent for longer investigations and community graph templates to start from. The core is published on GitHub, and higher plans move the deployment into a dedicated instance in an ...
Read more about MorphikStarts from $59/month when monthly, also offers free forever plan
mixedbread
A managed search stack with published per-unit rates
Best for: SMB teams · Mid-market · Enterprise
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What is mixedbread?
mixedbread runs indexing, keyword and semantic search, optional reranking and storage as one managed stack, alongside Toast 1, a search model and agent aimed at knowledge work. Rates are published per unit and apply on every plan: indexing is $1.50 per million content tokens at speed or $3 at ...
Read more about mixedbreadStarts from $0.10/1,000 queries when monthly, also offers free forever plan
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What is Exa?
Exa is a search API built for applications rather than people. Its endpoints cover search, deep search, page contents, a direct answer, monitors that watch a query over time, and an agent that runs a research task from start to finish. Access is an API key, with Python and JavaScript libraries ...
Read more about ExaStarts from $4/1,000 requests when monthly, also offers free forever plan
Ragie
A managed retrieval pipeline with embedded connectors
Best for: SMB teams · Mid-market · Enterprise
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What is Ragie?
Ragie runs the whole retrieval sequence behind one API: ingestion and parsing, hybrid and hierarchical search, reranking, partitions, entity extraction and recency bias, with a Model Context Protocol server for agent clients. Its connector product can be embedded inside a customer’s own ...
Read more about RagieStarts from $100/month when monthly, also offers free forever plan
Reducto
Parsing, extraction and classification by the page
Best for: SMB teams · Mid-market · Enterprise
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What is Reducto?
Reducto reads complex documents and returns structured output, with separate endpoints for parse, extract, edit, split and classify, plus a web studio for reviewing results. Published list rates are per thousand pages: $10 for r-1 parsing, $1 for the smaller r-1 mini, $20 for extraction with ...
Read more about ReductoStarts from $1/1,000 pages when monthly, also offers free forever plan
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What is Unstructured?
Unstructured turns documents into the clean, ordered text a retrieval pipeline needs, through a transform API, a Model Context Protocol server and scheduled pipelines that move content from a source system into a destination store. Deployment runs from the hosted service to a dedicated ...
Read more about UnstructuredStarts from $0.015/page when monthly, also offers free forever plan
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What is Parallel?
Parallel sells web search, extraction and research as separate APIs an agent can call, alongside a free hosted Model Context Protocol server for personal use. The published rates start at $1 per 1,000 search requests with ten results included, $1 per 1,000 extracted addresses, $1 per 1,000 ...
Read more about ParallelStarts from $1/1,000 requests when monthly, also offers free forever plan
SerpApi
Search engine results returned as structured data
Best for: SMB teams · Mid-market · Enterprise
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What is SerpApi?
SerpApi runs a query against a search engine and returns the result page as structured data, which is how many retrieval pipelines reach public search results without maintaining their own scraping. Plans are sold as a monthly search quota with an hourly throughput guarantee, and faster ...
Read more about SerpApiStarts from $25/month when monthly, also offers free forever plan
Linkup
A European web search API with a private index option
Best for: SMB teams · Mid-market · Enterprise
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What is Linkup?
Linkup is a web search API for AI applications with three endpoints: fetch, which reads a single page, search, which returns results in under a second, and research, which works through a longer question asynchronously. Beyond the open web it can hold a private index of a customer’s own ...
Read more about LinkupStarts from $0.001/request when monthly, also offers free forever plan
Firecrawl
Turns web pages into clean text a model can read
Best for: SMB teams · Mid-market · Enterprise
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What is Firecrawl?
Firecrawl takes a URL or a whole site and returns content a model can read, through endpoints for scrape, crawl, map, search, interact, monitor and agent. Every call draws on one credit balance, so searching and scraping are budgeted together, and paid accounts can top up in $5 increments with ...
Read more about FirecrawlStarts from $19/month when monthly, also offers free forever plan
Tavily
Real-time web access for agents, billed per credit
Best for: SMB teams · Mid-market · Enterprise
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What is Tavily?
Tavily is a single API for giving an agent live web access, with endpoints for search, extract, research, crawl and map. It is called from an application rather than opened by a person, and the company runs a European deployment for customers who need requests handled inside the region. Pricing ...
Read more about TavilyStarts from $0.008/credit when monthly, also offers free forever plan

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What is Vectorize?
Vectorize is a data pipeline tool for AI engineers and developers building retrieval-augmented generation (RAG) applications who need to convert unstructured documents and data sources into optimized vector search indexes. It automates the chunking, embedding, and indexing steps that developers ...
Read more about VectorizeStarts from $0.57/pipeline hour, also offers free forever plan

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What is Deepset?
Deepset is an open source solution for developers to build production-ready Natural Language Processing (NLP) systems with ease and efficiency. We offer developers powerful tools to make data processing faster and simpler, while also being devoted to making modern NLP technology accessible, ...
Read more about DeepsetDeepset offers custom pricing plan
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