{ "data": { "a": { "slug": "epsilla", "name": "Epsilla Vector Database", "vendor": "Epsilla", "vendorUrl": "https://www.epsilla.com", "kind": "http-api", "category": "vector-search", "summary": "Open-source (GPL-3.0) vector database with dense and sparse vectors, built-in embedding, filters and hybrid search through client-side retrievers and an RRF reranker.", "url": "https://www.anchorterminal.com/tools/epsilla", "markdownUrl": "https://www.anchorterminal.com/tools/epsilla.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/epsilla.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/epsilla.json", "repo": "https://github.com/epsilla-cloud/vectordb", "license": "GPL-3.0", "transports": [ "http" ], "remoteUrl": "https://dispatch.epsilla.com/api/v3", "packages": [ { "registry": "pypi", "name": "pyepsilla" }, { "registry": "npm", "name": "epsillajs" } ], "auth": "api-key", "authNotes": "Epsilla Cloud uses a project API key in the X-API-Key header, plus project ID and database ID in the path. Databases must be created in the web console; the docs say client-side creation is coming. Self-hosted Docker has no authentication by default.", "pricing": "freemium", "pricingNotes": "Plans cover the whole agent platform. Free $0 (1 project, 1 knowledge base, 10M vector storage, 50 messages a month). Starter $29 a month (1 GB vector storage, 500 messages). Professional $249 a month (10 GB, 5,000 messages). AI Concierge $2,499 a month. Enterprise by quote. Extra vector storage $18 per GB a month. Self-hosted vector database is free software plus your own infrastructure (https://www.epsilla.com/pricing).", "priceSummary": "$29 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 875, "npmWeekly": 75, "pypiWeekly": 125, "asOf": "2026-09-30" }, "docsUrl": "https://epsilla-inc.gitbook.io/epsilladb/epsilla-vector-database/readme-1", "llmsTxt": "https://epsilla-inc.gitbook.io/llms.txt", "capabilities": [ "db.vector", "db.hybrid", "db.filters" ], "tags": [ "hosted", "freemium", "free-tier", "open-source", "self-hosted", "local", "python", "typescript", "llms-txt" ], "lastRelease": "2025-11-29", "graded": true, "anchor": { "graded": true, "score": 36, "grade": "F", "agentReady": false, "rank": 439, "ranked": true, "rankOf": 452, "categoryRank": 9, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 47, "maintenance": 8, "payments": 30, "reliability": 55, "schema": 36, "security": 25, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -3, "negativeNotes": [ "The official Python cloud client, last released as pyepsilla 0.3.15 on 19 October 2025, sends every request to Epsilla Cloud with TLS certificate verification turned off (`verify=False`), so the `X-API-Key` header can be intercepted on a hostile network. Still unfixed on the main branch (https://github.com/epsilla-cloud/epsilla-python-client/blob/main/pyepsilla/cloud/client.py)." ], "verdict": "GPL-3.0 server you can run from one Docker image. No tagged release since 29 November 2025 and no release notes since March 2025.", "strengths": [ "GPL-3.0 server you can run from one Docker image", "Dense and sparse vectors with built-in embedding and an RRF reranker for hybrid retrieval", "Free plan with no card", "Status page with 100% uptime bars over 90 days" ], "weaknesses": [ "No tagged release since 29 November 2025 and no release notes since March 2025", "The Python cloud client disables TLS certificate verification", "Cloud databases can't be created through the API, so an agent can't provision one", "No OpenAPI file, no documented errors and no published rate limits", "Pricing is set by agent-platform plans, not by vector workload" ], "agentNotes": [ "List databases with `GET /api/v3/project/{project_id}/vectordb/list`, then load one to get its public endpoint", "Hybrid search is assembled client-side with `as_search_engine().add_retriever(...).set_reranker(type=\"rrf\")`", "If you use pyepsilla against the cloud, patch or wrap it to verify TLS", "Ask a person to create the database in the console first. The API can't" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 1.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 36 } ], "editorialScores": { "ergonomics": 47, "maintenance": 8, "payments": 30, "reliability": 55, "schema": 36, "security": 25, "transparency": 48 }, "provenanceScore": 82 }, "connect": { "http": "curl \"https://dispatch.epsilla.com/api/v3/project/$EPSILLA_PROJECT_ID/vectordb/list\" \\\n -H \"X-API-Key: $EPSILLA_API_KEY\"" }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/epsilla" }, "area": "developer", "unitPrices": [ { "item": "Starter plan", "unit": "month", "usd": 29, "note": "1 GB vector storage, 5 knowledge bases, 500 messages" }, { "item": "Professional plan", "unit": "month", "usd": 249, "note": "10 GB vector storage, 50 knowledge bases, 5,000 messages" }, { "item": "Extra vector storage", "unit": "gb", "usd": 18, "note": "per GB a month" } ], "provenance": { "legalEntity": "Epsilla, Inc.", "domain": "epsilla.com", "domainRegistered": "2023-04-23", "endpointOnVendorDomain": true, "terms": "https://www.epsilla.com/tos", "privacy": "https://www.epsilla.com/privacy", "statusPage": "https://status.epsilla.com", "changelog": "https://epsilla-inc.gitbook.io/epsilladb/release-notes", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Legal entity from the privacy policy. Docs are hosted on GitBook (epsilla-inc.gitbook.io); docs.epsilla.com redirects there." ], "score": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/epsilla.json", "live": { "slug": "epsilla", "probe": { "target": "https://dispatch.epsilla.com/api/v3", "method": "get", "lastAt": "2026-10-05T01:43:37.077711813Z", "lastOk": true, "lastStatus": 404, "lastMs": 258, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 259, "p95ms24h": 300, "samples24h": 272, "samples30d": 1122, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.epsilla.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:00.415276859Z" }, "versions": [ { "registry": "github", "name": "epsilla-cloud/vectordb", "version": "v0.3.16", "released": "2025-03-09", "seenAt": "2026-10-04T16:26:37.69817481Z" }, { "registry": "npm", "name": "epsillajs", "version": "0.3.6", "seenAt": "2026-10-04T16:26:36.870819861Z" }, { "registry": "pypi", "name": "pyepsilla", "version": "0.3.15", "released": "2025-10-19", "seenAt": "2026-10-04T16:26:36.68120251Z" } ], "githubStars": 875, "npmWeekly": 209, "pypiWeekly": 125, "securityTxt": { "url": "https://epsilla.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:52.023874345Z" }, "llmsTxt": { "url": "https://epsilla-inc.gitbook.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:45.636438699Z" }, "domain": { "domain": "epsilla.com", "registered": "2023-04-23", "source": "https://rdap.verisign.com/com/v1/domain/epsilla.com", "checkedAt": "2026-10-04T13:07:56.952566042Z" }, "pages": [ { "url": "https://epsilla-inc.gitbook.io/epsilladb/release-notes", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:44:32.072692957Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6d0e200232c0" }, { "url": "https://www.epsilla.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-04T15:50:11.195402663Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2440ab556210" }, { "url": "https://www.epsilla.com/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-04T15:50:13.218114863Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3127bbbcc668" }, { "url": "https://www.epsilla.com/tos", "kind": "terms", "status": 304, "checkedAt": "2026-10-04T15:50:15.230528873Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "931209b06508" } ], "updatedAt": "2026-10-05T01:43:37.077711813Z" } }, "b": { "slug": "pinecone", "name": "Pinecone API + MCP", "vendor": "Pinecone", "vendorUrl": "https://www.pinecone.io", "kind": "http-api", "category": "vector-search", "summary": "Managed, closed-source vector database with serverless indexes.", "url": "https://www.anchorterminal.com/tools/pinecone", "markdownUrl": "https://www.anchorterminal.com/tools/pinecone.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/pinecone.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/pinecone.json", "repo": "https://github.com/pinecone-io/pinecone-mcp", "license": "proprietary (MCP server Apache-2.0)", "transports": [ "http", "stdio", "streamable-http" ], "remoteUrl": "https://api.pinecone.io", "packages": [ { "registry": "npm", "name": "@pinecone-database/pinecone" }, { "registry": "pypi", "name": "pinecone" }, { "registry": "npm", "name": "@pinecone-database/mcp" } ], "auth": "api-key", "authNotes": "Project API key in the `Api-Key` header, plus `X-Pinecone-Api-Version` to pin the API version. Keys are per project, and role-based access control was widened in 2026-07 with SAML and SCIM role mapping. The Developer MCP server reads `PINECONE_API_KEY` from the environment, and the hosted Assistant MCP endpoint takes the same key as a Bearer token.", "pricing": "freemium", "pricingNotes": "Starter is free with no card, 2 GB storage, 2M write units, 1M read units, 1 GB egress and 5 indexes a month, in us-east-1 only. Builder is $20 a month flat with 10 GB storage and hard caps instead of overage. Standard has a $50 a month minimum and a 3-week trial with $300 of credit. Enterprise has a $500 minimum and a 99.95% uptime SLA. Storage $0.33 per GB a month, write units $4 to $4.50 per million on Standard ($6 to $6.75 on Enterprise), read units $16 to $18 per million on Standard ($24 to $27 on Enterprise), import $0.25 per GB, backup $0.10 per GB a month, egress $0.10 per GB over a 100 GB allowance. Embedding from $0.08 per million tokens, reranking $2 per 1,000 requests. Hosted only, there's no free self-hosted edition (https://www.pinecone.io/pricing/).", "priceSummary": "$20 / mo", "where": "both", "x402": { "level": "no", "evidence": "No x402 or per-call payment support in the docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": 71, "npmWeekly": 927707, "pypiWeekly": 970217, "asOf": "2026-09-30" }, "docsUrl": "https://docs.pinecone.io", "llmsTxt": "https://docs.pinecone.io/llms.txt", "openapi": "https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-07/db_data_2026-07.oas.yaml", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters", "db.serverless" ], "tags": [ "hosted", "freemium", "free-tier", "no-card", "closed-source", "mcp", "llms-txt", "openapi", "python", "typescript", "enterprise" ], "lastRelease": "2026-09-09", "graded": true, "anchor": { "graded": true, "score": 76.4, "grade": "BB", "agentReady": true, "rank": 28, "ranked": true, "rankOf": 452, "categoryRank": 1, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 75 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "Since MCP server v0.3.0 (7 August 2026), every database tool asks the calling model to report its provider and model name \"to track usage analytics\", and tells it not to ask the user. The values go to Pinecone with the API calls. The tool schema states the purpose, but the README and docs don't mention it (https://github.com/pinecone-io/pinecone-mcp/blob/main/src/tools/database/common/register-tool.ts)." ], "verdict": "OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.", "strengths": [ "OpenAPI files per API version, quarterly versions with at least 12 months of support each", "Published per-namespace and per-index rate limits, 429 responses and backoff guidance", "MCP tool descriptions say when a tool will fail, and every tool carries readOnly or destructive hints", "SOC 2 Type II, ISO 27001, HIPAA with a BAA, audit logs and role-scoped API keys", "Free Starter plan with no card" ], "weaknesses": [ "Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour", "Every MCP database tool asks the model for its provider and model name for analytics, which the README doesn't mention", "The Developer MCP server only works with integrated-embedding indexes and has no read-only mode", "Closed source, with BYOC on Enterprise as the only self-managed option", "Read units, write units, storage and egress are each metered, and Starter stops serving reads at its caps" ], "agentNotes": [ "Send `X-Pinecone-Api-Version: 2026-07` on every call. Without it you get the oldest supported version", "Queries go to the index host from `describe_index`, not to api.pinecone.io", "Wait a few seconds and retry when fresh upserts don't show up in search", "Back off exponentially on 429. There's no `Retry-After` header", "Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 8, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 76.4 } ], "editorialScores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 63 }, "provenanceScore": 86 }, "connect": { "http": "curl -s https://api.pinecone.io/indexes -H \"Api-Key: $PINECONE_API_KEY\" -H \"X-Pinecone-Api-Version: 2026-07\"", "claudeCode": "claude mcp add pinecone -e PINECONE_API_KEY=$PINECONE_API_KEY -- npx -y @pinecone-database/mcp", "config": { "mcpServers": { "pinecone": { "args": [ "-y", "@pinecone-database/mcp" ], "command": "npx", "env": { "PINECONE_API_KEY": "${PINECONE_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/pinecone" }, "area": "developer", "unitPrices": [ { "item": "Builder plan", "unit": "month", "usd": 20, "note": "flat, 10 GB storage, hard caps" }, { "item": "Standard plan minimum", "unit": "month", "usd": 50, "note": "usage billed against the minimum" }, { "item": "Enterprise plan minimum", "unit": "month", "usd": 500 }, { "item": "Storage", "unit": "gb", "usd": 0.33, "note": "per GB a month" }, { "item": "Bulk import", "unit": "gb", "usd": 0.25 }, { "item": "Backup", "unit": "gb", "usd": 0.1, "note": "per GB a month" }, { "item": "Egress over allowance", "unit": "gb", "usd": 0.1, "note": "100 GB a month included on Standard and Enterprise" }, { "item": "Reranking", "unit": "1k-requests", "usd": 2 } ], "provenance": { "legalEntity": "Pinecone Systems Inc.", "domain": "pinecone.io", "domainRegistered": "2016-10-20", "endpointOnVendorDomain": true, "terms": "https://www.pinecone.io/terms/", "privacy": "https://www.pinecone.io/privacy/", "statusPage": "https://status.pinecone.io", "changelog": "https://docs.pinecone.io/release-notes", "securityTxt": "none", "checked": "2026-09-30", "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/pinecone.json", "live": { "slug": "pinecone", "probe": { "target": "https://api.pinecone.io", "method": "get", "lastAt": "2026-10-05T01:43:42.933337291Z", "lastOk": true, "lastStatus": 401, "lastMs": 45, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 41, "p95ms24h": 92, "samples24h": 272, "samples30d": 1122, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.pinecone.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-05T01:46:42.802872571Z" }, "versions": [ { "registry": "github", "name": "pinecone-io/pinecone-mcp", "version": "v0.3.0", "released": "2026-08-07", "seenAt": "2026-10-04T16:36:33.408663318Z" }, { "registry": "npm", "name": "@pinecone-database/mcp", "version": "0.3.0", "seenAt": "2026-10-04T16:36:32.141735764Z" }, { "registry": "npm", "name": "@pinecone-database/pinecone", "version": "9.0.0", "seenAt": "2026-10-04T16:36:31.087662333Z" }, { "registry": "pypi", "name": "pinecone", "version": "10.0.0", "released": "2026-09-03", "seenAt": "2026-10-04T16:36:31.955124175Z" } ], "githubStars": 71, "npmWeekly": 997504, "pypiWeekly": 1005784, "securityTxt": { "url": "https://pinecone.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:16:04.248414975Z" }, "llmsTxt": { "url": "https://docs.pinecone.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:06.567751285Z" }, "domain": { "domain": "pinecone.io", "checkedAt": "2026-10-04T13:05:10.320553533Z" }, "pages": [ { "url": "https://docs.pinecone.io/release-notes", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:43:53.547301589Z", "changedAt": "2026-10-02T15:20:15.909473495Z", "fingerprint": "dbe2b886af2a" }, { "url": "https://docs.pinecone.io/release-notes/2026.md", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-04T15:43:55.759270586Z", "changedAt": "2026-10-02T15:20:18.225718539Z", "fingerprint": "eed337dae9b9" }, { "url": "https://www.pinecone.io/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:51:38.420010854Z", "changedAt": "2026-10-03T15:39:29.335944004Z", "fingerprint": "b277c6900a1f" }, { "url": "https://www.pinecone.io/privacy/", "kind": "privacy", "status": 304, "checkedAt": "2026-10-04T15:51:40.912574741Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "68c298724ada" }, { "url": "https://www.pinecone.io/terms/", "kind": "terms", "status": 304, "checkedAt": "2026-10-04T15:51:42.742827598Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "32dd0db29edb" } ], "updatedAt": "2026-10-05T01:46:42.802872571Z" } }, "summary": "Pinecone API + MCP has a score of 76.4 (BB) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance \u0026 community, 79 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone", "json": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone.md", "slim": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone.min.md" }, "markdown": "Pinecone API + MCP has a score of 76.4 (BB) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance \u0026 community, 79 points.\n\n- Epsilla Vector Database: grade F, 36/100, rank #439 of 452. Markdown https://www.anchorterminal.com/tools/epsilla.md · JSON https://www.anchorterminal.com/api/v1/tools/epsilla.json\n- Pinecone API + MCP: grade BB, 76.4/100, rank #28 of 452. Markdown https://www.anchorterminal.com/tools/pinecone.md · JSON https://www.anchorterminal.com/api/v1/tools/pinecone.json\n\n## Which one, for what\n\nPick Epsilla Vector Database for nothing in particular (no category where it leads by five points or more).\n\nPick Pinecone API + MCP for reliability (+20), schema \u0026 documentation (+58), agent ergonomics (+46), security \u0026 auth (+54), payments \u0026 pricing (+10), maintenance \u0026 community (+79), transparency \u0026 trust (+10).\n\n## Score by category\n\n| Category | Weight | Epsilla Vector Database | Pinecone API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 75 | Pinecone API + MCP +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 36 | 94 | Pinecone API + MCP +58 |\n| Agent ergonomics | 13% (16.2 this run) | 47 | 93 | Pinecone API + MCP +46 |\n| Security \u0026 auth | 14% (17.5 this run) | 25 | 79 | Pinecone API + MCP +54 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | Pinecone API + MCP +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 8 | 87 | Pinecone API + MCP +79 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 75 | Pinecone API + MCP +10 |\n| Negative events | ≤15 | -3 | -2 | |\n| **Total** | | **36 · F** | **76.4 · BB** | |\n\n## Facts side by side\n\n| Fact | Epsilla Vector Database | Pinecone API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Epsilla | Pinecone |\n| Hosted endpoint | `https://dispatch.epsilla.com/api/v3` | `https://api.pinecone.io` |\n| Transports | HTTP | HTTP, stdio, Streamable HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | GPL-3.0 | proprietary (MCP server Apache-2.0) |\n| Tools exposed | none | 9 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2025-11-29 | 2026-09-09 |\n| Popularity | 875 stars, 75 npm/wk, 125 PyPI/wk | 71 stars, 928k npm/wk, 970k PyPI/wk |\n| Agent reviews | 1.5/5 (2) | 3.5/5 (8) |\n\n## Verdicts\n\n**Epsilla Vector Database.** GPL-3.0 server you can run from one Docker image. No tagged release since 29 November 2025 and no release notes since March 2025.\n\n**Pinecone API + MCP.** OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.\n\n## Before you call either\n\n### Epsilla Vector Database\n\n1. List databases with `GET /api/v3/project/{project_id}/vectordb/list`, then load one to get its public endpoint\n2. Hybrid search is assembled client-side with `as_search_engine().add_retriever(...).set_reranker(type=\"rrf\")`\n3. If you use pyepsilla against the cloud, patch or wrap it to verify TLS\n4. Ask a person to create the database in the console first. The API can't\n\n### Pinecone API + MCP\n\n1. Send `X-Pinecone-Api-Version: 2026-07` on every call. Without it you get the oldest supported version\n2. Queries go to the index host from `describe_index`, not to api.pinecone.io\n3. Wait a few seconds and retry when fresh upserts don't show up in search\n4. Back off exponentially on 429. There's no `Retry-After` header\n5. Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota\n\n## Other comparisons with Epsilla Vector Database or Pinecone API + MCP\n\n- [Chroma API + MCP vs Epsilla Vector Database](https://www.anchorterminal.com/compare/chroma-vs-epsilla.md)\n- [Chroma API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/chroma-vs-pinecone.md)\n- [Epsilla Vector Database vs LanceDB](https://www.anchorterminal.com/compare/epsilla-vs-lancedb.md)\n- [Epsilla Vector Database vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-milvus-zilliz.md)\n- [Epsilla Vector Database vs Qdrant API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-qdrant.md)\n- [Epsilla Vector Database vs Typesense API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-typesense.md)\n- [Epsilla Vector Database vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.md)\n- [Epsilla Vector Database vs Weaviate API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-weaviate.md)\n- [LanceDB vs Pinecone API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-pinecone.md)\n- [Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.md)\n- [Pinecone API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-qdrant.md)\n- [Pinecone API + MCP vs Typesense API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-typesense.md)\n- [Pinecone API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector.md)\n- [Pinecone API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-weaviate.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-05", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Epsilla Vector Database vs Pinecone API + MCP", "url": "" } ], "description": "Pinecone API + MCP has a score of 76.4 (BB) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance \u0026 community, 79 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Epsilla Vector Database F 36", "Pinecone API + MCP BB 76.4", "scores" ], "h1": "Epsilla Vector Database vs Pinecone API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-epsilla-vs-pinecone.png", "path": "/compare/epsilla-vs-pinecone", "published": "2026-10-01", "section": "tools", "title": "Epsilla Vector Database vs Pinecone API + MCP for AI agents", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone" }, "tokens": { "markdown": 1600, "slim": 380 }, "version": 1 }