Based only on the facts in our directory. The right pick still depends on the job you need done.
Lower starting price
Not comparable
Not comparable: Qdrant does not list a price
Free plan
Tie
Both have one
Higher rating
Qdrant
4.3 against 4.1
Same job?
Yes
Both are AI Infrastructure & Agent Tooling tools
Side by side
Compared on
Qdrant
Tavily
Our rating
4.3Better
4.1
Starts at
Free
Free
Free plan
Yes
Yes
Category
AI Infrastructure & Agent Tooling
AI Infrastructure & Agent Tooling
Plans
Free
Free
Key features
Open-source vector database, free to self-host with full source access
Qdrant Cloud managed service with a free tier and usage-based paid plans
Purpose-built for semantic search, recommendations, and RAG pipelines
$50M Series B raised March 2026 to expand agent-retrieval infrastructure
Filterable vector search with payload metadata alongside embeddings
Search API returning clean, structured results optimized for LLM consumption
Free tier with a monthly search-credit allowance before paid usage-based tiers
Default or near-default search-tool integration across the LangChain agent ecosystem
Now part of AI infrastructure company Nebius, continuing under its own brand and API
Extraction and content-scraping endpoints alongside core search
Pros
Open-source option gives full control and zero licensing cost for self-hosted deployments
Managed cloud tier removes the operational overhead of running vector search infrastructure
Free tier on Qdrant Cloud is generous enough for real prototyping, not just a demo
Deep integration across popular agent frameworks reduces setup time significantly
Free tier is generous enough to prototype real agent workflows before paying
Nebius backing adds infrastructure resources beyond what an independent startup could offer
Cons
Self-hosting still requires infrastructure expertise the managed tier is meant to remove
Competes in a crowded vector-database field against Pinecone and several open-source alternatives
Newer funding means less operating history than some competing vector databases
Now operates as part of a larger company, a real change from its independent-startup years
Usage-based pricing needs monitoring once an agent moves from prototype to production traffic
Competes directly with Exa and other search APIs built for the same agent use case
Company
Qdrant, founded 2021
Tavily, founded 2023
Prices come from each vendor's pricing page, last checked 20260716. Check the vendor before you buy.
FAQ
Questions people ask
Is Qdrant better than Tavily?
In our reviews Qdrant scores 4.3 and Tavily scores 4.1. The better pick depends on the job. Qdrant: Open-source vector database that raised a $50M Series B to power retrieval for AI agents. Tavily: Search API for AI agents that became part of Nebius after fast adoption across the LangChain ecosystem.
Qdrant
Tavily
