Trieve
Open-source AI search and RAG infrastructure for product, support, and knowledge experiences.
What is Trieve?
Trieve is an open-source search and retrieval platform for AI applications. It combines hybrid search, embeddings, RAG APIs, recommendations, and analytics so product teams can add source-aware search, knowledge assistants, and agent retrieval without building the whole indexing stack themselves.
Tools for building, hosting, testing, observing, connecting, and giving memory or computer access to AI agents.
See the full Agent Infrastructure guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Build AI search across docs, help centers, products, or internal knowledge
Power RAG workflows for assistants and agents with controlled retrieval
Track search quality and user behavior to improve answers over time
Reduce engineering time spent maintaining embeddings, indexes, and ranking logic
Fit to evaluate
SaaS teams adding semantic search or RAG to a product
Support and knowledge teams that need better retrieval over help content
AI builders who want open-source infrastructure with hosted options
Technical founders replacing brittle keyword search with managed retrieval
Business fit
Right for you if search quality or AI retrieval is limiting support, product adoption, or internal knowledge workflows. Trieve is developer infrastructure, so budget for data preparation, integration work, ranking tests, and ongoing quality review.
How to evaluate Trieve
Use this category when a business wants agents that do work across tools, APIs, browsers, and data sources.
Confirm the exact workflow
Map Trieve to one concrete workflow first, such as build ai search across docs, help centers, products, or internal knowledge. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare tool-calling, memory, browser automation, evals, observability, and deployment controls.
Compare practical alternatives
Compare Trieve with other Agent Infrastructure vendors before committing to a contract or migration.
Validate cost and rollout effort
Trieve offers open-source infrastructure with paid cloud plans. Evaluate cost by indexed data volume, query traffic, hosted infrastructure, analytics needs, support, and engineering time saved versus a custom RAG stack. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Trieve with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Build AI search across docs, help centers, products, or internal knowledge, Power RAG workflows for assistants and agents with controlled retrieval |
|---|---|
| Best-fit team | SaaS teams adding semantic search or RAG to a product, Support and knowledge teams that need better retrieval over help content |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Open-source + paid cloud |
| Closest alternatives | Other Agent Infrastructure tools |
Trieve pricing
| Model | Open-source + paid cloud |
|---|---|
| Snapshot | Trieve offers open-source infrastructure with paid cloud plans. Evaluate cost by indexed data volume, query traffic, hosted infrastructure, analytics needs, support, and engineering time saved versus a custom RAG stack. |
| Checked |
Common questions about Trieve
What is Trieve?
Trieve is an open-source search and retrieval platform for AI applications. It combines hybrid search, embeddings, RAG APIs, recommendations, and analytics so product teams can add source-aware search, knowledge assistants, and agent retrieval without building the whole indexing stack themselves.
What is Trieve used for?
Common use cases: Build AI search across docs, help centers, products, or internal knowledge; Power RAG workflows for assistants and agents with controlled retrieval; Track search quality and user behavior to improve answers over time; Reduce engineering time spent maintaining embeddings, indexes, and ranking logic.
How much does Trieve cost?
Trieve offers open-source infrastructure with paid cloud plans. Evaluate cost by indexed data volume, query traffic, hosted infrastructure, analytics needs, support, and engineering time saved versus a custom RAG stack.
Who is Trieve best for?
Trieve fits SaaS teams adding semantic search or RAG to a product, Support and knowledge teams that need better retrieval over help content, AI builders who want open-source infrastructure with hosted options, Technical founders replacing brittle keyword search with managed retrieval. Right for you if search quality or AI retrieval is limiting support, product adoption, or internal knowledge workflows. Trieve is developer infrastructure, so budget for data preparation, integration work, ranking tests, and ongoing quality review.