FEATURES / FIT / TRADE-OFFS

Graphiti vs pgvector

Graphiti may fit developers building grounded assistants with persistent context and retrieval. pgvector may fit developers building grounded assistants with persistent context and retrieval. Compare your own workflow before making a choice; this page does not rank either platform as a universal winner.

Graphiti

Not yet rated
POTENTIAL FIT

Developers building grounded assistants with persistent context and retrieval.

Knowledge graphsTemporal memoryGraph retrieval
Official pricing ↗

pgvector

Not yet rated
POTENTIAL FIT

Developers building grounded assistants with persistent context and retrieval.

PostgreSQL vectorsSimilarity searchVector indexing
Official pricing ↗
Compare the work, then the plan.Capabilities · fit · trade-offs · costs
Compare Graphiti, pgvector by fit, capabilities, pricing, and published community ratings.
Compare by
GraphitiNot yet rated
pgvectorNot yet rated
What it doesBuild temporally aware knowledge graphs for agent memory.Add vector similarity search to PostgreSQL using an open-source extension.
Potential fitDevelopers building grounded assistants with persistent context and retrieval.Developers building grounded assistants with persistent context and retrieval.
CategoryAI memory & retrievalAI memory & retrieval
Key capabilities
  • Knowledge graphs
  • Temporal memory
  • Graph retrieval
  • PostgreSQL vectors
  • Similarity search
  • Vector indexing
Look closer
Test retrieval quality, deletion behavior, access boundaries, and retention. Compare hosting and embedding costs for your data.
Test retrieval quality, deletion behavior, access boundaries, and retention. Compare hosting and embedding costs for your data.
Pricing & plans
Check current vendor pricingOfficial pricing ↗
Check current vendor pricingOfficial pricing ↗
Community ratingNot yet rated0 published reviewsNot yet rated0 published reviews
Vendor sourceOfficial vendor website ↗Official vendor website ↗
ExploreRead the profile ↗Read the profile ↗
01 · Define one task02 · Test the same inputs03 · Check cost and exportBuild your pilot plan ↗

Which platform should you choose?

Test retrieval quality on your own information, including access restrictions and outdated documents. Confirm deletion, retention, indexing updates, embedding costs, and how the application handles missing evidence. Validate claims with the vendor and test the important workflow with your team. Differences shown here are evaluation prompts, not hands-on performance findings.

Graphiti: the evaluation focus

Build temporally aware knowledge graphs for agent memory. Test retrieval quality, deletion behavior, access boundaries, and retention. Compare hosting and embedding costs for your data.

Read the Graphiti profile

pgvector: the evaluation focus

Add vector similarity search to PostgreSQL using an open-source extension. Test retrieval quality, deletion behavior, access boundaries, and retention. Compare hosting and embedding costs for your data.

Read the pgvector profile

How we choose and describe platforms.