# Polygres vs You.com

Polygres records 4,018 monthly visits with -52.3% month-over-month growth and Freemium pricing. You.com records 948,349 monthly visits with +7% growth and Freemium pricing.

| Metric | [Polygres](https://openaitools.app/tool/polygres) | [You.com](https://openaitools.app/tool/you) |
| :--- | :--- | :--- |
| Website URL | https://polygres.com | https://you.com |
| Categories | AI Developer Tools, AI Agent, AI Knowledge Graph, AI API | AI Search Engine, AI Assistant, AI Chatbot, AI Image Generator |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 4,018 | 948,349 |
| MoM Growth Rate | -52.3% | +7% |
| Primary Market | Global | United States |
| Direct Visits | 1,605 | 639,145 |
| Review Score | 4.1 | 4.4 |
| Saved Count | 0 | 42 |
| Supported Platforms | Website | Website |

## Polygres

Polygres is a retrieval platform that treats PostgreSQL as the backbone for AI-native applications. Rather than forcing teams to migrate to a new vector-only database, it virtualises a GraphRAG-style retrieval layer on top of Postgres, so existing relational records, embeddings and text indexes stay where they are while agents gain the ability to search by meaning, follow relationships and match exact wording in one request.

The platform bundles four complementary retrieval modes: semantic vector search for meaning, graph traversal for multi-hop relationships and shortest-path style queries, full-text search for exact terms, and hybrid search that blends them. Developers reach these capabilities through a hosted playground, a CLI for managing projects and imports, and a typed Python SDK for production applications.

Behind the managed platform are two open-source engines, pgGraph for graph traversal inside Postgres and pgContext for AI search, which teams can inspect, benchmark and self-host. Polygres supports both a managed database hosted by the company and connecting an existing Postgres instance, and it markets itself around agent memory, grounded answers with sources, product semantic search and recommendation systems.

**Pricing & Plans:** Polygres follows a freemium model with a free tier for getting started and paid managed plans for production workloads. Exact tiers are published on the company's pricing page, so check there for current numbers before budgeting.

- **Unified retrieval API:** Query graph, vector, full-text and hybrid retrieval through one consistent interface instead of stitching multiple systems together.
- **Graph traversal on Postgres:** The open-source pgGraph engine follows relationships across your records, enabling multi-hop and shortest-path retrieval without moving data.
- **Vector and hybrid search:** Semantic search over embeddings combines with sparse and full-text matching so queries that mix meaning and exact terms still work.
- **Developer toolkit:** A dashboard playground, CLI for imports and configuration, and a typed Python SDK make it straightforward to prototype and then ship.
- **Managed or bring-your-own Postgres:** Start on a Polygres-hosted database or connect an existing Postgres instance and extend what you already run.

**Strengths:** Keeps your existing PostgreSQL instead of forcing a migration to a specialised vector store; Combines four retrieval modes in one platform, which reduces the number of moving parts in a RAG stack; Core engines pgGraph and pgContext are open source, so the internals are inspectable and self-hostable; Familiar Postgres tooling, SQL knowledge and connection patterns carry over for most teams

**Limitations:** Team and community are relatively early-stage, so long-term support and ecosystem maturity are still developing; Being a newer product, third-party tutorials and integrations are thinner than for established vector databases; Fully managed convenience depends on using the hosted offering rather than the open-source engines alone

[Profile (Markdown)](https://openaitools.app/tool/polygres.md)

## You.com

You.com began as an AI-native search engine built around user control and privacy, and has since grown into a search-and-inference infrastructure company. Today its centre of gravity is the developer platform: a real-time web index exposed through Web Search, Contents, Answer, Research and Finance Research APIs, tuned for feeding live, citable data into large language models rather than for human browsing alone. Web Search returns ranked results in roughly 0.4 seconds at p50, Contents turns URLs into clean Markdown or HTML, and the research tiers plan, search repeatedly and cross-reference sources before answering.

The Inference Router is the other pillar. It provides one OpenAI-compatible chat completions endpoint that routes across leading open-weight and third-party models, with multi-provider failover, per-model cost visibility, usage and spend controls, and optional built-in You.com web search so requests can be grounded in fresh results without a separate integration. Security features include US-hosted models, zero data retention options and a 99.9% uptime SLA for the enterprise tier.

A consumer-facing AI search and assistant experience remains available, including an interactive demo of the search API on the homepage. The product is primarily aimed at engineering teams building RAG pipelines, agents and chat products who would otherwise assemble search, scraping and model routing themselves.

**Pricing & Plans:** API pricing is per call with no minimums, seats or platform fees. A free tier offers 100 Web Search queries per day via the MCP server with no API key or card. Paid usage includes Web Search at $5 per 1,000 calls, Contents at $1 per 1,000 pages, Answer at $5 per 1,000 calls, Research from $12 to $1,200 per 1,000 calls depending on depth, Finance Research from $110 per 1,000 calls, and model-dependent Inference Router pricing. Enterprise plans add custom QPS, SLAs and dedicated support.

- **Real-time Web Search API:** Ranked web and news results returned in around 0.4 seconds at p50, with highlights, knowledge, extraction and domain filters for production RAG workloads.
- **Contents API:** Submit URLs you already have and get back clean Markdown or HTML per page, priced per page returned rather than per request.
- **Agentic research endpoints:** Answer returns a cited response in one call, while Research plans, reads full pages and cross-references sources across five depth tiers.
- **Inference Router:** One OpenAI-compatible chat completions API that runs leading open-weight models with automatic multi-provider failover.
- **Built-in grounding and security:** Optional server-side You.com search grounds model responses, with US-hosted models, zero data retention, SOC 2 and DPA-ready terms.

**Strengths:** Fast, cited real-time web data designed for LLM consumption; Generous free MCP tier of 100 searches a day with no API key; Transparent per-call pricing with no seats, minimums or platform fees; Inference Router combines many models with built-in web grounding

**Limitations:** The platform is developer-first, so non-technical users get less from it; Every endpoint is billed per call, and deep research tiers add up quickly; The consumer search and assistant product is no longer the main focus

[Profile (Markdown)](https://openaitools.app/tool/you.md)

## Frequently Asked Questions

### How do Polygres and You.com compare in monthly traffic?

Polygres has 4,018 monthly visits, while You.com has 948,349. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Polygres has a month-over-month growth rate of -52.3%; You.com has +7%.

### How does pricing compare?

Polygres: Freemium. Polygres follows a freemium model with a free tier for getting started and paid managed plans for production workloads. Exact tiers are published on the company's pricing page, so check there for current numbers before budgeting. You.com: Freemium. API pricing is per call with no minimums, seats or platform fees. A free tier offers 100 Web Search queries per day via the MCP server with no API key or card. Paid usage includes Web Search at $5 per 1,000 calls, Contents at $1 per 1,000 pages, Answer at $5 per 1,000 calls, Research from $12 to $1,200 per 1,000 calls depending on depth, Finance Research from $110 per 1,000 calls, and model-dependent Inference Router pricing. Enterprise plans add custom QPS, SLAs and dedicated support.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Exceptional consumer answer engine with verified citations, but less flexible raw developer API data feeds. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 3 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | Includes cloud browser automation and live fetching for web agents, but less optimized for traditional textual search queries. | [.md](https://openaitools.app/tool/tinyfish.md) |
| 4 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Neural web search API specifically engineered for LLM agents, but offers less consumer chatbot interface polish. | [.md](https://openaitools.app/tool/exa-ai.md) |
| 5 | [Tavily](https://openaitools.app/tool/gpt-researcher) | 989,998 | -0.8% | Contact for Pricing | Bundles deep research crawling and search into a developer API, but lacks generalized multi-model inference endpoints. | [.md](https://openaitools.app/tool/gpt-researcher.md) |
| 6 | [Algolia](https://openaitools.app/tool/algolia) | 689,970 | -11% | Freemium, Contact for Pricing | Powerful enterprise neural search and discovery platform, but focuses more on internal site search than live web retrieval. | [.md](https://openaitools.app/tool/algolia.md) |
| 7 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |
| 8 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Provides specialized URL-to-Markdown reading and neural rerankers, but less comprehensive out-of-the-box real-time web search. | [.md](https://openaitools.app/tool/jina-ai.md) |
| 9 | [AI/ML API](https://openaitools.app/tool/ai-ml-api) | 232,946 | -20.1% | Pay-as-you-go credits (free to start); enterprise custom pricing on request | One universal API for 500+ AI models and 1,000+ agentic tools | [.md](https://openaitools.app/tool/ai-ml-api.md) |
| 10 | [supermemory](https://openaitools.app/tool/supermemory-1) | 156,579 | -7.7% | Contact for Pricing | A memory and continual-learning engine that gives any AI agent persistent context | [.md](https://openaitools.app/tool/supermemory-1.md) |

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Source: https://openaitools.app/compare/polygres-vs-you

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