What people use it for
- Vector search in Postgres
- RAG
Learning difficulty
4/5: Postgres and SQL skills needed.
Competitors
| Tool | Pricing model | Free plan | Starting price | Difficulty | Output rights | Best for |
|---|---|---|---|---|---|---|
| pgvector | Free, open source | Yes | Free | 4/5 | – | Vector search in an existing Postgres database |
| Langfuse | Free plan + paid plans | Yes | $0 · then $29/mo | 3/5 | Not a content generator | Debugging and evaluating LLM apps |
| LangChain | Free, open source | Yes | Free | 4/5 | – | Developers building agents and RAG pipelines |
| LlamaIndex | Free, open source | Yes | Free | 4/5 | – | RAG over documents |
| CrewAI | Free, open source | Yes | Free | 4/5 | – | Multi-agent workflows |
| Pinecone | Free plan + paid plans | Yes | See official site | 3/5 | – | Managed vector search at scale |
| OpenAI Agents SDK | Free, open source | Yes | Free | – | – | Lightweight agents on OpenAI models |
Alternatives with a free plan
- Langfuse: Debugging and evaluating LLM apps
- LangChain: Developers building agents and RAG pipelines
- LlamaIndex: RAG over documents
- CrewAI: Multi-agent workflows
Used in our research notes
- RAG knowledge-base chatbots for companies: Vector search inside the client's Postgres
Short profile. We checked the official site and pricing model on . We don't list exact prices here; they're tracked only on our in-depth profiles. Check the official site before you buy.