Agentset VS Polygres
Compare Agentset VS Polygres, what is the difference between Agentset and Polygres?
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Summarize
Agentset summarize
Open-source RAG infrastructure that survives production workloads. Upload documents, query via API, get answers with sources. Hybrid search, multimodal, complex reasoning - all included. Model-agnostic. Used by 1,500+ teams in medical AI, legal tech, enterprise search.
Agentset Landing Page
Polygres summarize
Polygres turns Postgres into working memory for AI agents. Retrieve structured rows, connected relationships, semantic matches, and full-text results through one hybrid API. All without a separate vector store, graph database, or sync pipeline. Build grounded agents over the data you already have, with relational, graph, and vector context joined at the source. Use the managed cloud or self-host with our open source components. Polygres is currently free to use, just sign up!
Polygres Landing Page
Compare Details
Agentset details
| Categories | AI Developer Tools, AI App Builder, AI Search Engine, AI Chatbot, AI Agent |
| Agentset Website | https://agentset.ai?utm_source=toolify |
| Added Time | February 25 2026 |
| Agentset Pricing | -- |
Polygres details
| Categories | AI Developer Tools, AI Agent, AI Knowledge Graph, AI API, AI Search Engine |
| Polygres Website | https://polygres.com?utm_source=toolify |
| Added Time | August 26 2026 |
| Polygres Pricing | -- |
Comparison of usage
How to use Agentset?
Developers can start by signing up and using the JavaScript or Python SDKs to upload documents in various formats. After ingestion, you can configure your preferred LLM and vector database. The platform then allows you to query your data via API to receive accurate answers with automatic citations, or integrate it into external apps using the Model Context Protocol (MCP) server.
How to use Polygres?
Create a Polygres managed instance or install the open-source components on an existing PostgreSQL database. Connect your schema and use the SDK or retrieval API to submit a natural-language query with options such as graph traversal depth, filters, and token limits. Polygres combines relational, graph, vector, and text results into one ranked, token-ready context block that can be passed directly to an AI agent.
Compare Pros between Agentset and Polygres
Core features of Agentset
- Production-grade RAG infrastructure with hybrid search and reranking
- Multimodal support for text, images, graphs, and tables
- Model-agnostic architecture (choose your own LLM, Vector DB, and Embeddings)
- Automatic source citations and metadata filtering
- Developer-friendly SDKs and MCP server integration
- Deep research and agentic reasoning capabilities
Core features of Polygres
- Unified relational, graph, vector, and full-text retrieval
- Native graph traversal over existing PostgreSQL foreign keys
- Fused hybrid search with dense HNSW, sparse, filtered, and semantic retrieval
- Token-ready context assembly for grounded AI agents
- Shortest-path, neighborhood, relationship, and multi-hop graph queries
- Managed cloud hosting and open-source self-hosting
- PostgreSQL-native data retrieval without a separate vector store or sync pipeline
Compare Use Cases
Use cases for Agentset
- Building research-grounded medical AI assistants
- Creating enterprise search systems for complex legal or municipal documents
- Replacing traditional keyword search with high-precision semantic search
- Developing AI chatbots with reliable answers for customer support
Use cases for Polygres
- Build grounded AI agents that retrieve customer records, orders, tickets, and related history
- Investigate failed transactions by combining semantic search with order, payment, and dispute relationships
- Create user-memory systems that retrieve relevant past interactions and connected data
- Query Wikipedia-scale datasets using hybrid indexes and graph relationships
- Provide support agents with ranked, database-backed context
- Develop recommendation and discovery systems using existing PostgreSQL data
Different Plan between Agentset and Polygres
Agentset
$0 USD
1,000 pages, 10,000 retrievals, and community support.
$49 USD per month
10,000 pages ($0.01 per additional page), unlimited retrievals, $100 per connector, and email support.
Custom
Unlimited pages/retrievals, self-hosted/BYOC options, SOC 2/HIPAA reports, and dedicated engineering support.
Polygres
$0 / forever
Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.
$16 / month
Managed cloud database hosting with email and community Discord support. Currently free for now.
$256 / month minimum usage
Automated vertical and horizontal scaling, email and community Discord support, private Discord or Slack channel, and support hours from 8:00 AM to 5:00 PM.
$4,096 / month minimum usage
Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.
Agentset's traffic
Agentset is the one with 12.8K monthly visits and 00:00:15 Avg.visit duration. Agentset has a Page per visit of 1.82 and a bounce rate of 40.96%.
Visit Over Time
| Monthly Visits | 12.8K |
| Avg·visit Duration | 00:00:15 |
| Page per Visit | 1.82 |
| Bounce Rate | 40.96% |
Polygres's traffic
Polygres is the one with 29.2K monthly visits and 00:00:44 Avg.visit duration. Polygres has a Page per visit of 1.61 and a bounce rate of 68.04%.
Visit Over Time
| Monthly Visits | 29.2K |
| Avg·visit Duration | 00:00:44 |
| Page per Visit | 1.61 |
| Bounce Rate | 68.04% |
Geography
The top 5 countries/regions for Agentset are:United States 29.68%, India 14.08%, Indonesia 10.71%, Turkey 10.58%, Brazil 8.65%
Top 5 Countries/regions
 | 29.68% |
 | 14.08% |
 | 10.71% |
 | 10.58% |
 | 8.65% |
Geography
The top 3 countries/regions for Polygres are:United States 84.49%, India 15.16%, Mexico 0.34%
Top 3 Countries/regions
| 84.49% |
| 15.16% |
 | 0.34% |
Traffic Sources
The 6 main sources of traffic to Agentset are:Direct 39.39%, vs_sourcesSearchOrganic 33.62%, Referrals 10.16%, vs_sourcesSocialOrganic 5.72%, vs_sourcesDisplayAds 2.78%, Mail 2.75%, vs_sourcesAffiliate 1.76%, vs_sourcesGenAi 1.72%, vs_sourcesSearchPaid 1.46%, vs_sourcesSocialPaid 0.64%
Direct | 39.39% |
vs_sourcesSearchOrganic | 33.62% |
Referrals | 10.16% |
vs_sourcesSocialOrganic | 5.72% |
vs_sourcesDisplayAds | 2.78% |
Mail | 2.75% |
vs_sourcesAffiliate | 1.76% |
vs_sourcesGenAi | 1.72% |
vs_sourcesSearchPaid | 1.46% |
vs_sourcesSocialPaid | 0.64% |
Traffic Sources
The 6 main sources of traffic to Polygres are:Direct 43.28%, vs_sourcesSocialOrganic 34.37%, vs_sourcesSearchOrganic 14.81%, Referrals 4.00%, Mail 1.48%, vs_sourcesGenAi 0.93%, vs_sourcesDisplayAds 0.49%, vs_sourcesAffiliate 0.25%, vs_sourcesSearchPaid 0.25%, vs_sourcesSocialPaid 0.12%
Direct | 43.28% |
vs_sourcesSocialOrganic | 34.37% |
vs_sourcesSearchOrganic | 14.81% |
Referrals | 4.00% |
Mail | 1.48% |
vs_sourcesGenAi | 0.93% |
vs_sourcesDisplayAds | 0.49% |
vs_sourcesAffiliate | 0.25% |
vs_sourcesSearchPaid | 0.25% |
vs_sourcesSocialPaid | 0.12% |
Which is better: Agentset or Polygres?
Polygres might be a bit more popular than Agentset.As you can see, Agentset has 12.8K monthly visits, while Polygres has 29.2K monthly visits. So more people choose Polygres. So the odds are that people will recommend Polygres more on social platforms.
Agentset has an Avg.visit duration of 00:00:15, while Polygres has an Avg.visit duration of 00:00:44. Also, Agentset has a page per visit of 1.82 and a Bounce Rate of 40.96%. Polygres has a page per visit of 1.61 and a Bounce Rate of 68.04%.
The main users of Agentset are United States, India, Indonesia, Turkey, Brazil, with the following distribution: 29.68%, 14.08%, 10.71%, 10.58%, 8.65%.
The main users of Polygres are United States, India, Mexico, with the following distribution: 84.49%, 15.16%, 0.34%.
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