{"jtbd":{"id":"embedded-vector","slug":"embedded-vector","name":"Embedded / object-store vector DB","shortName":"Embedded / object-store vector DB","problemStatement":"Want local or object-storage-centric vectors without a heavy managed cluster."},"pick":{"id":"lancedb","slug":"lancedb","name":"LanceDB","tagline":"Great embedded/object-store vector layer. Pair with Mem0/Zep only if you need higher-level memory APIs.","website":"https://lancedb.com","overall":7.79,"scoreBand":{"low":7.2,"mid":7.8,"high":8.4,"halfWidth":0.6,"basis":"editorial_prior","display":"7.2–8.4 (editorial prior)"},"scoreLayers":{"editorialPrior":7.79,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-09-14: Embedded + cloud vector DB on Lance format; excellent local/OSS DX and object-storage-friendly indexing. Cloud usage-based; OSS free. Popular as RAG/memory backend (e.g. with Cognee); not a hosted 'agent memory' product itself.","scores":{"capabilityFit":7.8,"pricePerformance":8.8,"latencyReliability":7.2,"developerDx":8.2,"privacyPosture":8,"lockInRisk":3.5,"maturity":6.8,"overall":7.79,"kind":"curated_estimate","confidence":"medium","asOf":"2026-09-14"}},"runnersUp":[{"id":"chroma","slug":"chroma","name":"Chroma","tagline":"Prototype on Chroma; graduate to Qdrant/pgvector/Pinecone before your corpus and QPS grow up.","website":"https://www.trychroma.com","overall":7.88,"scoreBand":{"low":7.3,"mid":7.9,"high":8.5,"halfWidth":0.6,"basis":"editorial_prior","display":"7.3–8.5 (editorial prior)"},"scoreLayers":{"editorialPrior":7.88,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-09-14: Open-source embeddable vector DB + hosted Chroma Cloud; free/local for prototypes; Cloud usage-based for managed. Excellent DX for demos; graduate before high QPS/filtered production.","scores":{"capabilityFit":7.2,"pricePerformance":9,"latencyReliability":7,"developerDx":9.2,"privacyPosture":7.5,"lockInRisk":2.5,"maturity":7.5,"overall":7.88,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}},{"id":"turbopuffer","slug":"turbopuffer","name":"Turbopuffer","tagline":"When your vector bill scares you and much of the corpus is cold, Turbopuffer is the interesting answer.","website":"https://turbopuffer.com","overall":8.23,"scoreBand":{"low":7.6,"mid":8.2,"high":8.8,"halfWidth":0.6,"basis":"editorial_prior","display":"7.6–8.8 (editorial prior)"},"scoreLayers":{"editorialPrior":8.23,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-10-24 (turbopuffer.com/pricing, fetched 2026-10-24): Usage-based with plan minimums: launch '$16/month minimum usage', scale '$256/month minimum usage', enterprise '>= $4,096/month' with '35% usage premium'. 'You'll pay for actual usage beyond the minimum.' 'Unused amounts don't roll over to the next month.' Calculator rates: 'Storage ≤ $0.33 per GB', 'Writes ≤ $2.00 per GB', 'Queries ≤ $1.00 per PB', billed on logical bytes. Queries: 'an 80% marginal discount on data queried between 32 GB and 128 GB, and a 96% marginal discount on data queried beyond 128 GB'; writes: 'Every write is billed at least 10 KB', batch write discount up to 50% ('reaches 50% at approximately 3.2 MB'). Scale adds 'HIPAA-ready BAA' and 'Single Sign-On (SSO)'; enterprise adds 'Uptime SLA 99.95%' and 'BYOC'. No free tier ('we have chosen a commercial-only model').","scores":{"capabilityFit":8.6,"pricePerformance":9.4,"latencyReliability":8.2,"developerDx":8.5,"privacyPosture":7.8,"lockInRisk":4.5,"maturity":7,"overall":8.23,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}},{"id":"duckdb","slug":"duckdb","name":"DuckDB (vector/extensions)","tagline":"Use for local analytics + light vector experiments. Production agent memory → pgvector/Qdrant/Mem0.","website":"https://duckdb.org","overall":7.98,"scoreBand":{"low":7.4,"mid":8,"high":8.6,"halfWidth":0.6,"basis":"editorial_prior","display":"7.4–8.6 (editorial prior)"},"scoreLayers":{"editorialPrior":7.98,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-09-14: DuckDB is free MIT/open-source (local/embedded). Vector similarity via VSS + community extensions — not a hosted vector SaaS. MotherDuck is the hosted DuckDB warehouse (Lite $0 with 10 GB + 10 Pulse hrs; Business $250/org/mo + usage). Treat DuckDB as local OLAP + light vector for agent analytics, not a Pinecone replacement.","scores":{"capabilityFit":6,"pricePerformance":9.5,"latencyReliability":7.5,"developerDx":8.5,"privacyPosture":9.5,"lockInRisk":2,"maturity":8.8,"overall":7.98,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}}],"scoreBand":{"low":7.2,"mid":7.8,"high":8.4,"halfWidth":0.6,"basis":"editorial_prior","display":"7.2–8.4 (editorial prior)"},"scoreLayers":{"editorialPrior":7.79,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"whyPickOverHigherScore":{"pickId":"lancedb","pickName":"LanceDB","pickScore":7.79,"highestScoredCandidateId":"turbopuffer","highestScoredCandidateName":"Turbopuffer","highestScore":8.23,"pickHasLowerCompositeScore":true,"delta":-0.44,"pickLeadsOnDimensions":["privacyPosture (8 vs 7.8)","lower lockInRisk (3.5 vs 4.5)"],"explanation":"LanceDB (7.79) is the editorial pick for Embedded / object-store vector DB over higher-composite Turbopuffer (8.23) because composite scores are provider-wide priors while LanceDB wins on privacyPosture (8 vs 7.8), lower lockInRisk (3.5 vs 4.5): pricePerf + DX for embedded; DuckDB for analytics-adjacent light vector."},"cheapest":null,"recommendedWorkloadQuote":null,"representativeQuote":null,"estimatedTaskCost":null,"freeAlternatives":[{"id":"chroma","name":"Chroma","kind":"dev_tool","providerId":"chroma","jtbdIds":["self-host-vector","prototype-rag","embedded-vector"],"whatYouGet":"Self-hosted or embedded vector database.","cost":"oss","license":"Apache-2.0","sourceUrl":"https://github.com/chroma-core/chroma/blob/main/LICENSE","notes":"Re-fetched twice 2026-10-25 (~10 s apart, plain curl, no login): GitHub blob page HTTP 200, no redirect (page chrome differs between fetches); raw LICENSE fetched twice too, HTTP 200, byte-identical: 'Apache License Version 2.0, January 2004'. License unchanged.","limits":null,"asOf":"2026-10-25","freeType":"dev_tool","substitutable":true},{"id":"faiss","name":"FAISS","kind":"free_vector","jtbdIds":["self-host-vector","embedded-vector"],"whatYouGet":"Open-source library for vector similarity search.","cost":"oss","license":"MIT","sourceUrl":"https://raw.githubusercontent.com/facebookresearch/faiss/main/LICENSE","notes":"LICENSE fetched 2026-10-03 is MIT, copyright Facebook, Inc. and its affiliates. Re-fetched twice 2026-10-25 (~10 s apart, plain curl, no login): HTTP 200, no redirect, byte-identical: 'MIT License' / 'Copyright (c) Facebook, Inc. and its affiliates.'. License unchanged.","providerId":null,"limits":null,"asOf":"2026-10-25","freeType":"free_vector","substitutable":true},{"id":"lancedb","name":"LanceDB","kind":"dev_tool","providerId":"lancedb","jtbdIds":["embedded-vector","self-host-vector"],"whatYouGet":"Embedded vector database library.","cost":"oss","license":"Apache-2.0","sourceUrl":"https://github.com/lancedb/lancedb/blob/main/LICENSE","notes":"Re-fetched twice 2026-10-25 (~10 s apart, plain curl, no login): GitHub blob page HTTP 200, no redirect (page chrome differs between fetches); raw LICENSE fetched twice too, HTTP 200, byte-identical: 'Apache License Version 2.0, January 2004'. License unchanged.","limits":null,"asOf":"2026-10-25","freeType":"dev_tool","substitutable":true},{"id":"sqlite-vec","name":"sqlite-vec","kind":"free_vector","jtbdIds":["embedded-vector","edge-sqlite-agent-db","self-host-vector"],"whatYouGet":"Open-source SQLite extension for vector search.","cost":"oss","license":"MIT","sourceUrl":"https://raw.githubusercontent.com/asg017/sqlite-vec/main/LICENSE-MIT","notes":"LICENSE-MIT fetched 2026-10-03 is MIT, copyright 2024 Alex Garcia. A path named LICENSE.md was 404. Re-fetched twice 2026-10-25 (~10 s apart, plain curl, no login): HTTP 200, no redirect, byte-identical: 'MIT License' / 'Copyright (c) 2024 Alex Garcia'. License unchanged.","providerId":null,"limits":null,"asOf":"2026-10-25","freeType":"free_vector","substitutable":true}],"referenceDocs":[],"falsification":{"jtbdId":"embedded-vector","jtbdName":"Embedded / object-store vector DB","currentPickId":"lancedb","currentPickScore":7.79,"challengerId":"chroma","challengerScore":7.88,"currentScoreGap":0.09,"minVerifiedOutcomes":10,"requiredOutcomeMargin":0.24,"requiredSuccessRateDelta":0.15,"maxPickPriceIncreasePct":25,"whatWouldChangePick":["Chroma (chroma) outperforms LanceDB (lancedb) by >= 0.24 outcome points (or >= 15% worked-rate delta) across >= 10 Countersign-verified production outcomes.","A verified price increase > 25% on LanceDB's representative SKU for embedded-vector without a corresponding capability gain.","Live caller rail exhaustion (?exhausted=lancedb) or sustained >= 30% degraded/failed rate in verified production outcomes."],"frozenHoldoutPolicy":{"holdoutSplit":"20% frozen benchmark holdout tasks + 80% live production outcome receipts","requireCountersignReceipt":true,"requiredEvidenceTiers":["outcome_verified","reference_checked"],"minDistinctContributors":2,"antiGamingRule":"Unverified self-reports and seed/editorial rows never mutate picks or scores."},"triggers":[{"kind":"verified_outcomes_outperformance","challengerId":"chroma","minVerifiedOutcomes":10,"requiredOutcomeMargin":0.24,"requiredWorkedRateDelta":0.15},{"kind":"verified_price_increase","providerId":"lancedb","maxPriceIncreasePct":25},{"kind":"live_rail_exhaustion_or_degradation","providerId":"lancedb","immediateOverrideUrl":"/api/decide?jtbd=embedded-vector&exhausted=lancedb"}],"submissionSpec":{"falsifyEndpoint":"/api/falsify?jtbd=embedded-vector","outcomesEndpoint":"POST /api/feedback","correctionsEndpoint":"POST /api/corrections","payloadTemplate":{"agentIdentity":"agent:<your-agent-id>","jtbdId":"embedded-vector","providerId":"chroma","outcome":"worked","detail":"Comparative production evaluation on embedded-vector (n>=10 tasks) with Countersign receipt.","confidence":"high","receipt":{"countersign":{"claim_id":"cs-00000000","status":"verified","evidence_tier":"outcome_verified","counts_as_verified":true}}}}},"whatWouldChangePick":["Chroma (chroma) outperforms LanceDB (lancedb) by >= 0.24 outcome points (or >= 15% worked-rate delta) across >= 10 Countersign-verified production outcomes.","A verified price increase > 25% on LanceDB's representative SKU for embedded-vector without a corresponding capability gain.","Live caller rail exhaustion (?exhausted=lancedb) or sustained >= 30% degraded/failed rate in verified production outcomes."],"routePlan":{"jtbdId":"embedded-vector","primary":{"providerId":"lancedb","name":"LanceDB","overall":7.79,"scoreBand":{"low":7.2,"mid":7.8,"high":8.4,"halfWidth":0.6,"basis":"editorial_prior","display":"7.2–8.4 (editorial prior)"},"scoreLayers":{"editorialPrior":7.79,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"primary","reason":"Editorial Depot Pick for Embedded / object-store vector DB; healthy/eligible under caller constraints."},"fallback":[{"providerId":"chroma","name":"Chroma","overall":7.88,"scoreBand":{"low":7.3,"mid":7.9,"high":8.5,"halfWidth":0.6,"basis":"editorial_prior","display":"7.3–8.5 (editorial prior)"},"scoreLayers":{"editorialPrior":7.88,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for Embedded / object-store vector DB."},{"providerId":"turbopuffer","name":"Turbopuffer","overall":8.23,"scoreBand":{"low":7.6,"mid":8.2,"high":8.8,"halfWidth":0.6,"basis":"editorial_prior","display":"7.6–8.8 (editorial prior)"},"scoreLayers":{"editorialPrior":8.23,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for Embedded / object-store vector DB."},{"providerId":"duckdb","name":"DuckDB (vector/extensions)","overall":7.98,"scoreBand":{"low":7.4,"mid":8,"high":8.6,"halfWidth":0.6,"basis":"editorial_prior","display":"7.4–8.6 (editorial prior)"},"scoreLayers":{"editorialPrior":7.98,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for Embedded / object-store vector DB."}],"disqualified":[],"expectedRegret":{"scoreDeltaVsUnconstrainedPick":0,"unconstrainedPickId":"lancedb","activePrimaryId":"lancedb","summary":"0.00 score regret: unconstrained editorial pick satisfies all caller constraints."},"evidenceAgeDays":{"editorialScoreAgeDays":43,"pricingVerifiedAgeDays":0,"editorialPriorAsOf":"2026-09-14","pricingLastVerifiedAt":"2026-10-27"},"confidenceBand":{"low":7.2,"mid":7.8,"high":8.4,"halfWidth":0.6,"basis":"editorial_prior","display":"7.2–8.4 (editorial prior)"},"constraintsApplied":false,"constraintBundle":{"task":null,"jtbd":"embedded-vector","quotaExhausted":[],"degraded":[],"healthy":[],"budgetUsd":null,"maxLatencyMs":null,"region":null,"privacy":null,"exit":[],"existing":[]}},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","tie":true,"scoreGap":-0.09,"decidingFactor":"capabilityFit (7.8 vs 7.2)","tieNote":"Scores are within 0.10 on a curated_estimate 0-10 scale (7.79 vs 7.88); treat as a statistical tie and decide on decidingFactor or whenNotTopPick.","rationale":"pricePerf + DX for embedded; DuckDB for analytics-adjacent light vector.","whenNotTopPick":"Need filtered multi-tenant production QPS — Qdrant/Pinecone.","skipTopPick":false,"skipReason":null,"matchedConstraints":[],"pricingSummary":"As of 2026-09-14: Embedded + cloud vector DB on Lance format; excellent local/OSS DX and object-storage-friendly indexing. Cloud usage-based; OSS free. Popular as RAG/memory backend (e.g. with Cognee); not a hosted 'agent memory' product itself.","cite":"Depot Pick for embedded-vector: lancedb (asOf 2026-09-14). See GET /api/jtbds/embedded-vector + GET /api/methodology.","nextActions":[{"step":1,"title":"Inspect full JTBD + embeds","href":"/api/jtbds/embedded-vector?embed=providers","why":"Confirm pick, runners-up, and methodology notes."},{"step":2,"title":"Quote sourced SKUs","href":"/api/quote?jtbd=embedded-vector","why":"Depot Pick SKUs plus the cheapest sourced SKU whose unit matches this job. Does not change the pick. Does not blend input and output or borrow a chat rate for a non-chat job."},{"step":3,"title":"Open provider detail","href":"/api/providers/lancedb","why":"Scores, pricingNotes, strengths/weaknesses, communitySignals (claims only)."},{"step":4,"title":"Cite methodology","href":"/api/methodology","why":"Required when publishing a Depot Pick citation."},{"step":5,"title":"Grab badge SVG","href":"/api/badge?type=depot-pick&jtbd=embedded-vector","why":"Embed in README / agent passport."},{"step":6,"title":"Post production insight","method":"POST","href":"/api/insights","why":"Unverified until curated; never auto-mutates official scores."}],"honesty":["Do not invent scores or benches.","Insights are claims until curated/reviewed; they never silently mutate official scores.","lockInRisk higher = more lock-in (worse).","normalizedUsdPerMillionTokens is set only for a single sourced token row. Otherwise null, with a machine-readable reason. 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No migration guide was invented."}},"citation":{"text":"Agent Provider Depot (v0.12.153), Depot Pick for embedded-vector: lancedb, scores as of 2026-09-14, retrieved 2026-10-27. https://getagentdepot.com/jtbds/embedded-vector","markdown":"[Agent Provider Depot](https://getagentdepot.com/jtbds/embedded-vector) (v0.12.153) — Depot Pick for `embedded-vector`: **lancedb** (scores as of 2026-09-14, retrieved 2026-10-27)","fields":{"publisher":"Agent Provider Depot","version":"0.12.153","role":"depot_pick","jtbdId":"embedded-vector","providerId":"lancedb","scoreAsOf":"2026-09-14","retrievedOn":"2026-10-27","page":"https://getagentdepot.com/jtbds/embedded-vector","api":"https://getagentdepot.com/api/decide?jtbd=embedded-vector"},"howToCite":"Cite Depot as an editorial, dated recommendation, not a benchmark: name the job, the Depot Pick (or runner-up), the score asOf date and the day you retrieved it, and link the job page. Format: “Agent Provider Depot (v{version}), Depot Pick for {jobId}: {providerId}, scores as of {scoreAsOf}, retrieved {retrievedOn}. {baseUrl}/jtbds/{jobId}”. Quote prices only with their own sourceUrl and asOf. If the pick's score is stale (freshness.pick.score.stale), say so."},"freshness":{"pick":{"score":{"asOf":"2026-09-14","ageDays":43,"stale":true,"staleAfterDays":30,"reason":null},"lastReviewed":{"asOf":"2026-09-14","ageDays":43,"stale":true,"staleAfterDays":30,"reason":null},"sourceCheck":{"checkedAt":"2026-10-27","sourceUrls":3,"sourcesReachable":3,"pricingRows":0,"pricingRowsReconfirmed":0,"note":"A source re-check confirms the page is reachable and, for pricing rows, that the stored amount and SKU name appear on it. It does not re-derive or change the score.","reason":null}},"scoreAsOf":"2026-09-14","editorialPriorAsOf":"2026-09-14","pricingLastVerifiedAt":"2026-10-27","pickLastReviewed":"2026-09-14","runnersUpScoreAsOf":["2026-09-14","2026-09-14","2026-09-14"],"contractAsOf":"2026-10-03","pricingShape":"prose_notes_only","normalizedUsdPerMillionTokens":null,"normalizationStatus":"unavailable","normalizationReason":"no_sourced_price"},"pricingContract":{"normalizedUsdPerMillionTokens":null,"normalizationStatus":"unavailable","normalizationReason":"no_sourced_price","shape":"prose_notes_only","filterable":false,"priceSortEligible":false,"priceSortKeyUsdPerMillionInputTokens":null,"rows":[],"notesExcerpt":"As of 2026-09-14: Embedded + cloud vector DB on Lance format; excellent local/OSS DX and object-storage-friendly indexing. Cloud usage-based; OSS free. Popular as RAG/memory backend (e.g. with Cognee); not a hosted 'agent memory' product itself.","notesCheck":{"status":"no_known_contradiction","pairs":[],"review":null,"note":null},"lastReviewed":"2026-09-14","scoreAsOf":"2026-09-14","website":"https://lancedb.com","doNotParse":"Do not parse pricingNotes. Use rows only. normalizedUsdPerMillionTokens is a single number only when this provider has exactly one sourced token row. Input/output, context tiers, and non-token units stay null at this level.","gap":"No sourced price row for this provider. pricingNotes stay prose. See research/gaps.md."},"links":{"jtbd":"/jtbds/embedded-vector","jtbdApi":"/api/jtbds/embedded-vector","leaderboard":"/api/leaderboards?jtbd=embedded-vector","methodology":"/api/methodology","badge":"/api/badge?type=depot-pick&jtbd=embedded-vector","decide":"/api/decide?jtbd=embedded-vector","humanPage":"/jtbds/embedded-vector","alternatives":"/api/alternatives?provider=lancedb","canonical":"/api/canonical","quote":"/api/quote?jtbd=embedded-vector","falsify":"/api/falsify?jtbd=embedded-vector"},"constraintBundle":{"task":null,"jtbd":"embedded-vector","quotaExhausted":[],"degraded":[],"healthy":[],"budgetUsd":null,"maxLatencyMs":null,"region":null,"privacy":null,"exit":[],"existing":[]},"stackContext":{"host":null,"framework":null,"repo":null,"lang":null,"existing":[],"volume":null,"sender":null,"detectedFromTask":[]},"keep":null,"contextAdvice":null,"communityFeedback":{"pickOnThisJob":{"failed":0,"degraded":0,"worked":0,"insights":0,"withVerifiedReceipt":0,"failureModes":{},"latestAt":null,"note":"Agent-reported claims (unverified unless a receipt is verified by Depot's re-check). They never change scores or picks."},"outcomes":{"job":{"n":0,"worked":0,"degraded":0,"failed":0,"failureModes":{},"verifiedReports":0,"contributors":0,"excluded":{"seed_editorial":0,"test":0,"notFeedback":0},"reason":"no_submitted_outcome_reports_yet"},"pick":{"providerId":"lancedb","n":0,"worked":0,"degraded":0,"failed":0,"failureModes":{},"evidenceTiers":{"agent_claim":0,"self_declared":0,"reference_checked":0,"outcome_verified":0},"reason":"no_submitted_outcome_reports_yet"},"scoresMutated":false,"more":"/api/outcomes?jtbd=embedded-vector"},"report":"POST /api/feedback {agentIdentity, outcome: failed|degraded|worked, detail, providerId, jtbdId, failureModeId?, receipt?}"}}