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LightRAG vs turbopuffer vs Zep

Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.

LightRAG vs turbopuffer vs Zep, side by side
LightRAGby HKU Data Science LabRemove LightRAG from this comparisonturbopufferby turbopufferRemove turbopuffer from this comparisonZepby ZepRemove Zep from this comparison
Sets it apart
  • Only one with a CLI
  • No auth required
  • Newest listing (added Oct 4, 2026)
  • Most skills (5)
What it isBuilds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server.Gives search and RAG backends a serverless vector and BM25 full-text search database built on object storage, queried over an HTTP API or official SDKs.Long-term memory store for AI assistants. Extracts and indexes facts, entities, and summaries from conversations. Fast hybrid search combines semantic and full-text retrieval.
ProviderHKU Data Science LabturbopufferZep
Official vendorNot an official listingSame for all
VerifiedYesSame for all
AccessAPI, CLIAPIAPI
AuthNoneAPI KeyAPI Key
CLI installIn its docsNo CLINo CLI
API base URLIn its docsSame for all
SkillsGraph Index, Hybrid Query, Incremental Update, API ServingVector Search, BM25 Full-Text Search, Hybrid Search, Namespace BranchingAuto-extract facts, entities, and summaries from raw conversation transcripts, Track entity relationships and state changes across long multi-session interactions, Temporal memory management that weights recency and relevance for retrieval, Hybrid search combining dense semantic vectors and full-text BM25 scoring, Retrieve cross-session context in a single API call for any user or thread
StreamingNoSame for all
Push notificationsNoSame for all
CategoriesMemory & State, Research & Knowledge, Vector DatabasesVector Databases, Infrastructure & OpsMemory & State
Tagsgraph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backendvector-search, full-text-search, bm25, hybrid-search, object-storage, serverless, turbopuffermemory, long-term-memory, llm, conversation-history, knowledge-graph
Listed sinceSep 18, 2026Oct 4, 2026Apr 8, 2026
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/compare?a=lightrag&b=turbopuffer&c=zep
3 listings side by side · "same" marks a row every column shares
listings
lightragapi+cliOnly one with a CLI; No auth requiredturbopufferapiNewest listing (added Oct 4, 2026)zepapiMost skills (5)
rows
descriptionBuilds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server. | Gives search and RAG backends a serverless vector and BM25 full-text search database built on object storage, queried over an HTTP API or official SDKs. | Long-term memory store for AI assistants. Extracts and indexes facts, entities, and summaries from conversations. Fast hybrid search combines semantic and full-text retrieval.
providerHKU Data Science Lab | turbopuffer | Zep
official (same)Not an official listing
verified (same)Yes
accessAPI, CLI | API | API
authNone | API Key | API Key
cliIn its docs | No CLI | No CLI
api (same)In its docs
skillsGraph Index, Hybrid Query, Incremental Update, API Serving | Vector Search, BM25 Full-Text Search, Hybrid Search, Namespace Branching | Auto-extract facts, entities, and summaries from raw conversation transcripts, Track entity relationships and state changes across long multi-session interactions, Temporal memory management that weights recency and relevance for retrieval, Hybrid search combining dense semantic vectors and full-text BM25 scoring, Retrieve cross-session context in a single API call for any user or thread
streaming (same)No
push (same)No
categoriesMemory & State, Research & Knowledge, Vector Databases | Vector Databases, Infrastructure & Ops | Memory & State
tagsgraph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backend | vector-search, full-text-search, bm25, hybrid-search, object-storage, serverless, turbopuffer | memory, long-term-memory, llm, conversation-history, knowledge-graph
addedSep 18, 2026 | Oct 4, 2026 | Apr 8, 2026
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