# Polygres vs Yep.com

Polygres records 4,018 monthly visits with -52.3% month-over-month growth and Freemium pricing. Yep.com records 155,834 monthly visits with +6.2% growth and Free pricing.

| Metric | [Polygres](https://openaitools.app/tool/polygres) | [Yep.com](https://openaitools.app/tool/yep-com) |
| :--- | :--- | :--- |
| Website URL | https://polygres.com | https://yep.com |
| Categories | AI Developer Tools, AI Agent, AI Knowledge Graph, AI API | AI Search Engine, AI API |
| Pricing Model | Freemium | Free |
| Monthly Visits | 4,018 | 155,834 |
| MoM Growth Rate | -52.3% | +6.2% |
| Primary Market | Global | China |
| Direct Visits | 1,605 | 94,781 |
| Review Score | 4.1 | 4.3 |
| Saved Count | 0 | 0 |
| 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)

## Yep.com

Yep is built on the same crawling infrastructure that powers Ahrefs, with an index that spans about 100 billion pages and refreshes roughly 8 billion of them every 24 hours. Rather than selling a general search box, it is positioned as a retrieval layer for AI: the API accepts a query along with filters such as include or exclude domains, categories, location, page type and language, then returns ranked pages and matching passages your model can read directly.

The service is aimed at developers building RAG pipelines, AI agents and research tools who want open-web context in one call instead of scraping and maintaining their own crawler. Results arrive structured, which reduces the post-processing needed before a prompt is constructed.

Pricing is deliberately simple and prepaid: $15 in free credit at signup with no card required, then $0.004 per request for a balanced result set of 1 to 50 results. You define spending limits, and there is no overage billing, so costs stay predictable. It is best understood as an independent search and retrieval API with the heritage of a former consumer search engine rather than a mass-market search destination.

**Pricing & Plans:** Free credit to start: $15 in credit at signup, no card required. Ongoing usage is prepaid and metered at $0.004 per request for a balanced result set of 1 to 50 results. You set spending limits and there is no overage billing.

- **Independent web index:** Submit a query and receive ranked pages, not just links, from an independent index so you are not dependent on a single commercial search provider.
- **Passage-level results:** Each result includes the passages that answer the query, so a language model can read relevant context without parsing entire pages.
- **One-call agent grounding:** A single endpoint call returns open-web context for your model, designed for RAG and agent grounding workflows.
- **Large, refreshed corpus:** Roughly 100 billion pages crawled since 2010 with around 8 billion refreshed every 24 hours, which keeps results reasonably current.
- **Predictable pricing:** Prepaid pricing at $0.004 per request with limits you define and no overage charges, plus $15 free credit at signup.

**Strengths:** Independent index with roughly 100 billion pages gives an alternative to mainstream search providers; Returns ranked pages and matching passages, cutting the work of extracting usable context; One-call agent grounding simplifies RAG and AI agent pipelines; Very low published rate of $0.004 per request and $15 free credit to test

**Limitations:** The consumer-facing search portal has been wound down, so the value is concentrated in the API rather than a general web search destination; A 403 Cloudflare challenge can appear for automated clients, so agents need proper API auth rather than scraping the homepage; Billing is prepaid per request rather than a flat free-forever plan for scale usage; Only one pricing tier is published publicly, limiting flexibility for very high or very low volume needs

[Profile (Markdown)](https://openaitools.app/tool/yep-com.md)

## Frequently Asked Questions

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

Polygres has 4,018 monthly visits, while Yep.com has 155,834. 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%; Yep.com has +6.2%.

### 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. Yep.com: Free. Free credit to start: $15 in credit at signup, no card required. Ongoing usage is prepaid and metered at $0.004 per request for a balanced result set of 1 to 50 results. You set spending limits and there is no overage billing.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Perplexity provides cited conversational answer engines with robust web search, but focuses primarily on end-user chat interfaces. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 2 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Firecrawl crawls and converts websites into clean LLM markdown, but is primarily a scraper rather than a live search index. | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 3 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | TinyFish provides live web search and agentic browsing automation, but is tailored more toward browser task execution than static index 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 | Exa provides neural web search designed specifically for LLM grounding, but relies on its own custom vector index rather than Ahrefs. | [.md](https://openaitools.app/tool/exa-ai.md) |
| 5 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | You.com offers real-time web search APIs for LLM applications, but includes broader conversational inference features. | [.md](https://openaitools.app/tool/you.md) |
| 6 | [Algolia](https://openaitools.app/tool/algolia) | 689,970 | -11% | Freemium, Contact for Pricing | AI search and retrieval platform for modern apps and commerce | [.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 | Jina AI offers powerful document reading and web search APIs, but focuses more heavily on embedding and reranking infrastructure. | [.md](https://openaitools.app/tool/jina-ai.md) |
| 9 | [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) |
| 10 | [Zilliz](https://openaitools.app/tool/zilliz) | 108,886 | -16.4% | Freemium, Paid, Free, Contact for Pricing | Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus | [.md](https://openaitools.app/tool/zilliz.md) |

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Source: https://openaitools.app/compare/polygres-vs-yep-com

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