{ "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": "2026-10-05T03:17:25.6425628Z", "lastOk": true, "lastStatus": 404, "lastMs": 250, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 259, "p95ms24h": 300, "samples24h": 273, "samples30d": 1140, "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": 38, "ok": 38 } ] }, "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": "2026-10-05T03:17:25.6425628Z" } }, "b": { "slug": "qdrant", "name": "Qdrant API + MCP", "vendor": "Qdrant", "vendorUrl": "https://qdrant.tech", "kind": "http-api", "category": "vector-search", "summary": "Open-source vector database written in Rust, run yourself or on Qdrant Cloud.", "url": "https://www.anchorterminal.com/tools/qdrant", "markdownUrl": "https://www.anchorterminal.com/tools/qdrant.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qdrant.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qdrant.json", "repo": "https://github.com/qdrant/qdrant", "license": "Apache-2.0", "transports": [ "http", "stdio", "streamable-http" ], "remoteUrl": "https://api.cloud.qdrant.io", "packages": [ { "registry": "pypi", "name": "qdrant-client" }, { "registry": "npm", "name": "@qdrant/js-client-rest" }, { "registry": "pypi", "name": "mcp-server-qdrant" } ], "auth": "api-key", "authNotes": "Cluster requests take a database API key in the `api-key` header or as a Bearer token. Qdrant Cloud keys can be read-only or read-write, limited to chosen collections, and expire after 90 days by default. The Cloud management API at api.cloud.qdrant.io uses separate management keys. The MCP server reads `QDRANT_URL` and `QDRANT_API_KEY`.", "pricing": "freemium", "pricingNotes": "Qdrant Cloud Free is a single-node cluster with 0.5 vCPU, 1 GB RAM and 4 GB disk, no card, suspended after 1 week unused and deleted after 4 weeks. Standard is billed hourly on CPU, memory and disk, with no rate card on the page, only a calculator. Premium has a minimum spend, and Hybrid Cloud and Private Cloud are priced on request. Payment by card or through the AWS, GCP or Azure marketplaces. Self-hosting the Apache-2.0 database is free, you pay for your own servers (https://qdrant.tech/pricing/).", "priceSummary": "Freemium", "where": "both", "x402": { "level": "no", "evidence": "No x402 or per-call payment support in the docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 2, "popularity": { "githubStars": 34889, "npmWeekly": 1138118, "pypiWeekly": 2979954, "asOf": "2026-09-30" }, "docsUrl": "https://qdrant.tech/documentation/", "llmsTxt": "https://qdrant.tech/llms.txt", "openapi": "https://raw.githubusercontent.com/qdrant/qdrant/master/docs/redoc/master/openapi.json", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "open-source", "self-hosted", "local", "hosted", "freemium", "free-tier", "no-card", "mcp", "llms-txt", "openapi", "python", "typescript", "read-only-mode", "enterprise" ], "lastRelease": "2026-09-16", "graded": true, "anchor": { "graded": true, "score": 75.3, "grade": "BB", "agentReady": true, "rank": 37, "ranked": true, "rankOf": 452, "categoryRank": 2, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 87, "maintenance": 85, "payments": 30, "reliability": 80, "schema": 87, "security": 83, "transparency": 84 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "GHSA-f632-vm87-2m2f, high severity, arbitrary file write through the `/logger` endpoint. The fix (\"Restrict /logger API\", #7527) landed on 13 November 2025 and shipped in v1.16.0, and the advisory was published on 5 February 2026. Fixed and disclosed, so a small deduction (https://github.com/qdrant/qdrant/security)." ], "verdict": "Database keys can be read-only, limited to chosen collections and expire after 90 days by default. The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025.", "strengths": [ "Database keys can be read-only, limited to chosen collections and expire after 90 days by default", "429 responses carry `Retry-After` in seconds, and `wait=true` makes writes read-your-own-write", "Published SLAs from 99.5% on Free and Standard to 99.95% with multi-AZ", "OpenAPI file in the repo, llms.txt over 547 Markdown pages, clients in six languages", "Three server releases since July, the latest v1.19.1 on 3 September 2026" ], "weaknesses": [ "The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025", "No per-unit rate card for Qdrant Cloud, only a calculator", "Self-hosted builds send usage statistics by default until you opt out", "474 open issues on the server repo, including a batch of July bug reports", "Keyword search means setting up sparse BM25 vectors, not a plain text query" ], "agentNotes": [ "Create payload indexes on the fields you filter on, or filtered search slows on large collections", "Use `/points/query` with `prefetch` to fuse dense and BM25 results", "Pass `wait=true` on upserts when the next step reads its own writes", "On 429, wait for the `Retry-After` seconds before retrying", "Set `with_vector=false` unless the task needs vectors, since they dominate response size" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 8, "avgRating": 3.6, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 75.3 } ], "editorialScores": { "ergonomics": 87, "maintenance": 85, "payments": 30, "reliability": 80, "schema": 87, "security": 83, "transparency": 82 }, "provenanceScore": 86 }, "connect": { "install": "pip install qdrant-client", "http": "curl -s \"$QDRANT_URL/collections\" -H \"api-key: $QDRANT_API_KEY\"", "claudeCode": "claude mcp add qdrant -e QDRANT_URL=$QDRANT_URL -e QDRANT_API_KEY=$QDRANT_API_KEY -e COLLECTION_NAME=agent-memory -- uvx mcp-server-qdrant", "config": { "mcpServers": { "qdrant": { "args": [ "mcp-server-qdrant" ], "command": "uvx", "env": { "COLLECTION_NAME": "agent-memory", "QDRANT_API_KEY": "${QDRANT_API_KEY}", "QDRANT_URL": "${QDRANT_URL}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/qdrant" }, "area": "developer", "provenance": { "legalEntity": "Qdrant Solutions GmbH", "domain": "qdrant.tech", "domainRegistered": "2020-10-27", "endpointOnVendorDomain": true, "terms": "https://qdrant.tech/legal/terms_and_conditions/", "privacy": "https://qdrant.tech/legal/privacy-policy/", "statusPage": "https://status.qdrant.io", "changelog": "https://github.com/qdrant/qdrant/releases", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Cloud clusters and the management API live on qdrant.io, a second Qdrant domain" ], "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qdrant.json", "live": { "slug": "qdrant", "probe": { "target": "https://api.cloud.qdrant.io", "method": "get", "lastAt": "2026-10-05T03:17:31.409269709Z", "lastOk": true, "lastStatus": 404, "lastMs": 318, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 258, "p95ms24h": 342, "samples24h": 273, "samples30d": 1140, "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": 38, "ok": 38 } ] }, "vendorStatus": { "page": "https://status.qdrant.io", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:25.322202424Z" }, "versions": [ { "registry": "github", "name": "qdrant/qdrant", "version": "v1.19.1", "released": "2026-09-04", "seenAt": "2026-10-04T16:37:52.6349661Z" }, { "registry": "npm", "name": "@qdrant/js-client-rest", "version": "1.19.0", "seenAt": "2026-10-04T16:37:50.659100388Z" }, { "registry": "pypi", "name": "mcp-server-qdrant", "version": "0.8.1", "released": "2025-12-10", "seenAt": "2026-10-04T16:37:51.569760127Z" }, { "registry": "pypi", "name": "qdrant-client", "version": "1.19.1", "released": "2026-09-16", "seenAt": "2026-10-04T16:37:50.550649809Z" } ], "githubStars": 34930, "npmWeekly": 977072, "pypiWeekly": 3101473, "securityTxt": { "url": "https://qdrant.tech/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:46.250336071Z" }, "llmsTxt": { "url": "https://qdrant.tech/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:09.480158531Z" }, "domain": { "domain": "qdrant.tech", "registered": "2020-10-27", "source": "https://rdap.radix.host/rdap/domain/qdrant.tech", "checkedAt": "2026-10-04T13:05:31.30945636Z" }, "pages": [ { "url": "https://qdrant.tech/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:47:16.531933964Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1e372d02af67" }, { "url": "https://qdrant.tech/legal/privacy-policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:47:12.160164067Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "67688d486a00" }, { "url": "https://qdrant.tech/legal/terms_and_conditions/", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:47:14.320056284Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "50f965925025" } ], "updatedAt": "2026-10-05T03:17:31.409269709Z" } }, "summary": "Qdrant API + MCP has a score of 75.3 (BB) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance \u0026 community, 77 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/epsilla-vs-qdrant", "json": "https://www.anchorterminal.com/compare/epsilla-vs-qdrant.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/epsilla-vs-qdrant.md", "slim": "https://www.anchorterminal.com/compare/epsilla-vs-qdrant.min.md" }, "markdown": "Qdrant API + MCP has a score of 75.3 (BB) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance \u0026 community, 77 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- Qdrant API + MCP: grade BB, 75.3/100, rank #37 of 452. Markdown https://www.anchorterminal.com/tools/qdrant.md · JSON https://www.anchorterminal.com/api/v1/tools/qdrant.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 Qdrant API + MCP for reliability (+25), schema \u0026 documentation (+51), agent ergonomics (+40), security \u0026 auth (+58), maintenance \u0026 community (+77), transparency \u0026 trust (+19).\n\n## Score by category\n\n| Category | Weight | Epsilla Vector Database | Qdrant API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 80 | Qdrant API + MCP +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 36 | 87 | Qdrant API + MCP +51 |\n| Agent ergonomics | 13% (16.2 this run) | 47 | 87 | Qdrant API + MCP +40 |\n| Security \u0026 auth | 14% (17.5 this run) | 25 | 83 | Qdrant API + MCP +58 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 30 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 8 | 85 | Qdrant API + MCP +77 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 84 | Qdrant API + MCP +19 |\n| Negative events | ≤15 | -3 | -2 | |\n| **Total** | | **36 · F** | **75.3 · BB** | |\n\n## Facts side by side\n\n| Fact | Epsilla Vector Database | Qdrant API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Epsilla | Qdrant |\n| Hosted endpoint | `https://dispatch.epsilla.com/api/v3` | `https://api.cloud.qdrant.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 | Apache-2.0 |\n| Tools exposed | none | 2 |\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 | yes |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2025-11-29 | 2026-09-16 |\n| Popularity | 875 stars, 75 npm/wk, 125 PyPI/wk | 35k stars, 1.1M npm/wk, 3M PyPI/wk |\n| Agent reviews | 1.5/5 (2) | 3.6/5 (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**Qdrant API + MCP.** Database keys can be read-only, limited to chosen collections and expire after 90 days by default. The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025.\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### Qdrant API + MCP\n\n1. Create payload indexes on the fields you filter on, or filtered search slows on large collections\n2. Use `/points/query` with `prefetch` to fuse dense and BM25 results\n3. Pass `wait=true` on upserts when the next step reads its own writes\n4. On 429, wait for the `Retry-After` seconds before retrying\n5. Set `with_vector=false` unless the task needs vectors, since they dominate response size\n\n## Other comparisons with Epsilla Vector Database or Qdrant 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 Qdrant API + MCP](https://www.anchorterminal.com/compare/chroma-vs-qdrant.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 Pinecone API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-pinecone.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 Qdrant API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-qdrant.md)\n- [Milvus and Zilliz Cloud API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-qdrant.md)\n- [Pinecone API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-qdrant.md)\n- [Qdrant API + MCP vs Typesense API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-typesense.md)\n- [Qdrant API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.md)\n- [Qdrant API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/qdrant-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 Qdrant API + MCP", "url": "" } ], "description": "Qdrant API + MCP has a score of 75.3 (BB) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance \u0026 community, 77 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Epsilla Vector Database F 36", "Qdrant API + MCP BB 75.3", "scores" ], "h1": "Epsilla Vector Database vs Qdrant API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-epsilla-vs-qdrant.png", "path": "/compare/epsilla-vs-qdrant", "published": "2026-10-01", "section": "tools", "title": "Epsilla Vector Database vs Qdrant API + MCP for AI agents", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/epsilla-vs-qdrant" }, "tokens": { "markdown": 1550, "slim": 380 }, "version": 1 }