{ "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": 35.7, "grade": "F", "agentReady": false, "rank": 826, "ranked": true, "rankOf": 842, "categoryRank": 11, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 47, "maintenance": 8, "payments": 30, "reliability": 55, "schema": 36, "security": 25, "transparency": 62 }, "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.", "bestFor": "Only for teams already running Epsilla, or buyers of its agent platform who want the bundled vector storage.", "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": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 35.7 } ], "editorialScores": { "ergonomics": 47, "maintenance": 8, "payments": 30, "reliability": 55, "schema": 36, "security": 25, "transparency": 48 }, "provenanceScore": 75 }, "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": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/epsilla.json", "live": { "slug": "epsilla", "probe": { "target": "https://dispatch.epsilla.com/api/v3", "method": "get", "lastAt": "2026-10-09T10:42:42.551933733Z", "lastOk": true, "lastStatus": 404, "lastMs": 274, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 259, "p95ms24h": 289, "samples24h": 260, "samples30d": 2300, "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": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 114, "ok": 114 } ] }, "vendorStatus": { "page": "https://status.epsilla.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:57:53.317645954Z" }, "versions": [ { "registry": "github", "name": "epsilla-cloud/vectordb", "version": "v0.3.16", "released": "2025-03-09", "seenAt": "2026-10-08T16:10:55.12883949Z" }, { "registry": "npm", "name": "epsillajs", "version": "0.3.6", "seenAt": "2026-10-08T16:10:51.810632471Z" }, { "registry": "pypi", "name": "pyepsilla", "version": "0.3.15", "released": "2025-10-19", "seenAt": "2026-10-08T16:10:51.623902607Z" } ], "githubStars": 874, "npmWeekly": 212, "pypiWeekly": 164, "securityTxt": { "url": "https://epsilla.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:58.351534177Z" }, "llmsTxt": { "url": "https://epsilla-inc.gitbook.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:23.793310406Z" }, "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": "2026-10-08T18:20:09.991666328Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6d0e200232c0" }, { "url": "https://www.epsilla.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-08T18:27:37.823856343Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2440ab556210" }, { "url": "https://www.epsilla.com/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-08T18:27:39.841703602Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3127bbbcc668" }, { "url": "https://www.epsilla.com/tos", "kind": "terms", "status": 304, "checkedAt": "2026-10-08T18:27:41.837989637Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "931209b06508" } ], "updatedAt": "2026-10-09T10:42:42.551933733Z" } }, "answer": "Vespa scores 70 (BB) on agent readiness against Epsilla Vector Database's 35.7 (F), and leads in every scored category.", "b": { "slug": "vespa", "name": "Vespa", "vendor": "Vespa.ai AS", "vendorUrl": "https://vespa.ai", "kind": "http-api", "category": "vector-search", "summary": "Vespa is an open-source search engine from Vespa.ai AS for vector, text and hybrid retrieval with ranking, run self-hosted or on Vespa Cloud. Agents reach it through HTTP query and document APIs, the Vespa CLI and a Python client.", "url": "https://www.anchorterminal.com/tools/vespa", "markdownUrl": "https://www.anchorterminal.com/tools/vespa.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vespa.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vespa.json", "repo": "https://github.com/vespa-engine/vespa", "license": "Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "pyvespa" } ], "auth": "mixed", "authNotes": "Vespa Cloud data-plane requests use mutual TLS with a client certificate placed in the application package, or a bearer token on a separate token endpoint. Each client is limited to `read`, `write` or both. Tokens are created in the console, have versions for rotation, expire (30 days by default) and can be revoked. The control plane uses a browser login through Auth0 (`vespa auth login`) or an application key pair for CI. Access is self-serve after a browser sign-up. A self-hosted Vespa has no authentication until the operator configures mTLS.", "pricing": "usage", "pricingNotes": "Vespa Cloud charges by the hour for allocated resources. Startup is $0.05 a vCPU-hour, $0.005 a GB-hour of memory and $0.0002 a GB-hour of disk, on dev zones with community support and no SLA. Basic starts at $0.10 a vCPU-hour, Commercial at $0.145 and Enterprise at $0.18 with a $20,000 monthly minimum. Unit prices fall with volume by up to 50 per cent. The trial has $300 of credits, needs no card and stops the application when credits run out. Self-hosting the Apache-2.0 engine is free (https://cloud.vespa.ai/price-calculator-content, checked 2026-10-09).", "priceSummary": "$0.05 / vCPU-hr", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the pricing page or the price calculator (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 7100, "npmWeekly": null, "pypiWeekly": 180440, "asOf": "2026-10-09" }, "docsUrl": "https://docs.vespa.ai/", "llmsTxt": "https://docs.vespa.ai/llms.txt", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "open-source", "self-hosted", "hosted", "usage-based", "free-trial", "no-card", "cli", "llms-txt", "python", "java", "status-page", "sla", "soc2", "enterprise" ], "lastRelease": "2026-10-01", "graded": true, "anchor": { "graded": true, "score": 70, "grade": "BB", "agentReady": true, "rank": 157, "ranked": true, "rankOf": 842, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 91, "payments": 40, "reliability": 80, "schema": 58, "security": 75, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": -2, "negativeNotes": [ "GHSA-v86h-xr9p-pgm5, moderate severity (CVSS 6.8), published 4 September 2026. Two local file inclusion flaws in the deployment API let an authorised deployer read files readable by the config server process, in versions up to 8.746.22. Patched in 8.748.3 and disclosed in public, so a small deduction (https://github.com/vespa-engine/vespa/security/advisories/GHSA-v86h-xr9p-pgm5)." ], "verdict": "Vespa Cloud publishes hourly unit prices, a 99.5% uptime agreement for paying customers and a trial with $300 of credits and no card. Every call needs an application package deployed first, no OpenAPI file was found in the reviewed documentation, and Vespa.ai says it has no official public MCP server.", "bestFor": "Teams that need hybrid retrieval with custom ranking at scale and can maintain a schema and application package.", "strengths": [ "Data-plane clients use mTLS certificates or tokens, each limited to `read`, `write` or both, with token versions, expiry and revocation", "Unit prices are public, from $0.05 a vCPU-hour on Startup, and the trial gives $300 of credits with no card", "Every docs page has a Markdown twin, with `llms.txt` and `llms-full.txt` on docs.vespa.ai", "16 release tags between 12 July and 29 September 2026, and pyvespa 1.2.8 on 1 October 2026", "Sub-processor list updated 12 August 2026 with locations, and logs are kept for at most 30 days in the application's region" ], "weaknesses": [ "No OpenAPI file was found in the docs index. The APIs are described in reference pages only", "Vespa.ai states it has no official public MCP server. An MCP endpoint must be added to the user's own application", "No call works until a schema and `services.xml` are deployed as an application package", "The Service Agreement named in the DPA is not on the product terms page, which links only the privacy policy, DPA and SLA", "Advisory GHSA-v86h-xr9p-pgm5 (moderate, 4 September 2026) let authorised deployers read config server files before 8.748.3" ], "agentNotes": [ "Deploy an application package with a schema before feeding or querying. Use `vespa deploy` and wait for the endpoint to report ready", "Send a token as `Authorization: Bearer` only to the endpoint marked Token. The mTLS endpoint needs the client certificate and key", "Set `hits`, `offset` and `presentation.summary` on queries. `hits` is capped at 400 by default and the query timeout defaults to 0.5s", "On 429 from `/document/v1` reduce the feed rate and back off. On 507 stop feeding, because the cluster is out of memory or disk", "Use the `condition` parameter for test-and-set writes and expect 412 when it fails or the document is missing" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70 } ], "editorialScores": { "ergonomics": 80, "maintenance": 91, "payments": 40, "reliability": 80, "schema": 58, "security": 75, "transparency": 86 }, "provenanceScore": 84 }, "connect": { "install": "brew install vespa-cli", "http": "curl -H \"Authorization: Bearer $TOKEN\" $ENDPOINT" }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/vespa" }, "area": "developer", "unitPrices": [ { "item": "Startup plan, one vCPU for an hour", "unit": "vcpu-hour", "usd": 0.05, "note": "Memory $0.005 and disk $0.0002 a GB-hour are charged as well" }, { "item": "Commercial plan, one vCPU for an hour (initial price)", "unit": "vcpu-hour", "usd": 0.145, "note": "Memory $0.0145 and disk $0.0005 a GB-hour are charged as well. Prices fall with volume" } ], "provenance": { "legalEntity": "Vespa.ai AS", "domain": "vespa.ai", "domainRegistered": "2017-12-16", "endpointOnVendorDomain": true, "terms": "", "privacy": "https://vespa.ai/privacy-policy/", "statusPage": "https://status.vespa.ai", "changelog": "https://github.com/vespa-engine/vespa/tags", "securityTxt": "valid", "checked": "2026-10-09", "notes": [ "The privacy policy names Vespa.ai AS, Prinsens gate 49, 7011 Trondheim, Norway, as controller for vespa.ai and console.vespa-cloud.com.", "No terms document is set. The product terms page links only the privacy policy, the DPA and the SLA, and the Service Agreement the DPA refers to was not found on the site.", "The DPA, last updated 18 October 2023, names Vespa.AI Norway AS as processor, a different name from the privacy policy's.", "Application endpoints answer on vespa-app.cloud and the console and control plane on vespa-cloud.com, both second domains of the vendor's.", "security.txt at vespa.ai expires on 31 December 2026 and points to a vulnerability disclosure programme on Intigriti.", "RDAP for vespa.ai gives a registration date of 2017-12-16." ], "score": 84 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/vespa.json", "live": { "slug": "vespa", "vendorStatus": { "page": "https://status.vespa.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:40.039920611Z" }, "updatedAt": "2026-10-09T07:58:40.039920611Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Epsilla", "b": "Vespa.ai AS", "name": "Vendor" }, { "a": "https://dispatch.epsilla.com/api/v3", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "$18 per GB of traffic", "b": "not published", "name": "Price for db vector" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "GPL-3.0", "b": "Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2025-11-29", "b": "2026-10-01", "name": "Last release" }, { "a": "no date given", "b": "no document linked", "name": "Terms last updated" }, { "a": "2023-11-16", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "875 stars, 75 npm/wk, 125 PyPI/wk", "b": "7.1k stars, 180k PyPI/wk", "name": "Popularity" }, { "a": "1.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Vespa scores 70 (BB) on agent readiness against Epsilla Vector Database's 35.7 (F), and leads in every scored category.", "question": "Which is better for AI agents, Epsilla Vector Database or Vespa?" }, { "answer": "Epsilla Vector Database needs an API key. Vespa takes an API key or an OAuth sign-in.", "question": "Do Epsilla Vector Database and Vespa need an API key?" }, { "answer": "Epsilla Vector Database has a hosted endpoint at https://dispatch.epsilla.com/api/v3. No hosted endpoint is listed for Vespa.", "question": "Can an agent call Epsilla Vector Database and Vespa without installing anything?" }, { "answer": "Yes. Epsilla Vector Database is open source (GPL-3.0). Vespa is open source (Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service).", "question": "Are Epsilla Vector Database and Vespa open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Only for teams already running Epsilla, or buyers of its agent platform who want the bundled vector storage.", "slug": "epsilla", "watchFor": "No tagged release since 29 November 2025 and no release notes since March 2025" }, { "aheadOn": [ "Reliability, 80 against 55", "Schema \u0026 documentation, 58 against 36", "Agent ergonomics, 80 against 47", "Security \u0026 auth, 75 against 25", "Payments \u0026 pricing, 40 against 30", "Maintenance \u0026 community, 91 against 8", "Transparency \u0026 trust, 85 against 62" ], "also": [ "Agent-ready, a grade of BB or better", "Free to start without a card" ], "goodFor": "Teams that need hybrid retrieval with custom ranking at scale and can maintain a schema and application package.", "slug": "vespa", "watchFor": "No OpenAPI file was found in the docs index. The APIs are described in reference pages only" } ], "job": { "capability": "db.vector", "name": "Db vector" }, "others": [ { "json": "https://www.anchorterminal.com/compare/chroma-vs-epsilla.json", "title": "Chroma API + MCP vs Epsilla Vector Database", "url": "https://www.anchorterminal.com/compare/chroma-vs-epsilla" }, { "json": "https://www.anchorterminal.com/compare/chroma-vs-vespa.json", "title": "Chroma API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/chroma-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla.json", "title": "Elasticsearch vs Epsilla Vector Database", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.json", "title": "Elasticsearch vs Vespa", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-lancedb.json", "title": "Epsilla Vector Database vs LanceDB", "url": "https://www.anchorterminal.com/compare/epsilla-vs-lancedb" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-milvus-zilliz.json", "title": "Epsilla Vector Database vs Milvus and Zilliz Cloud API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-milvus-zilliz" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone.json", "title": "Epsilla Vector Database vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-qdrant.json", "title": "Epsilla Vector Database vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-typesense.json", "title": "Epsilla Vector Database vs Typesense API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-typesense" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.json", "title": "Epsilla Vector Database vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-weaviate.json", "title": "Epsilla Vector Database vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-weaviate" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-vespa.json", "title": "LanceDB vs Vespa", "url": "https://www.anchorterminal.com/compare/lancedb-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa.json", "title": "Milvus and Zilliz Cloud API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-vespa.json", "title": "Pinecone API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/pinecone-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/qdrant-vs-vespa.json", "title": "Qdrant API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/qdrant-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/typesense-vs-vespa.json", "title": "Typesense API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/typesense-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.json", "title": "Upstash Vector API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/vespa-vs-weaviate.json", "title": "Vespa vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/vespa-vs-weaviate" } ], "scores": [ { "by": 25, "edge": "vespa", "epsilla": 55, "key": "reliability", "name": "Reliability", "vespa": 80, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 22, "edge": "vespa", "epsilla": 36, "key": "schema", "name": "Schema \u0026 documentation", "vespa": 58, "weight": 13 }, { "by": 33, "edge": "vespa", "epsilla": 47, "key": "ergonomics", "name": "Agent ergonomics", "vespa": 80, "weight": 13 }, { "by": 50, "edge": "vespa", "epsilla": 25, "key": "security", "name": "Security \u0026 auth", "vespa": 75, "weight": 14 }, { "by": 10, "edge": "vespa", "epsilla": 30, "key": "payments", "name": "Payments \u0026 pricing", "vespa": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 83, "edge": "vespa", "epsilla": 8, "key": "maintenance", "name": "Maintenance \u0026 community", "vespa": 91, "weight": 7 }, { "by": 23, "edge": "vespa", "epsilla": 62, "key": "transparency", "name": "Transparency \u0026 trust", "vespa": 85, "weight": 7 } ], "summary": "Vespa scores 70 (BB) on agent readiness against Epsilla Vector Database's 35.7 (F), and leads in every scored category. Both do db vector.", "verdicts": { "epsilla": "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.", "vespa": "Vespa Cloud publishes hourly unit prices, a 99.5% uptime agreement for paying customers and a trial with $300 of credits and no card. Every call needs an application package deployed first, no OpenAPI file was found in the reviewed documentation, and Vespa.ai says it has no official public MCP server." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/epsilla-vs-vespa", "json": "https://www.anchorterminal.com/compare/epsilla-vs-vespa.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/epsilla-vs-vespa.md", "slim": "https://www.anchorterminal.com/compare/epsilla-vs-vespa.min.md" }, "markdown": "Vespa scores 70 (BB) on agent readiness against Epsilla Vector Database's 35.7 (F), and leads in every scored category. Both do db vector.\n\n- Epsilla Vector Database: grade F, 35.7/100, rank #826 of 842. Markdown https://www.anchorterminal.com/tools/epsilla.md · JSON https://www.anchorterminal.com/api/v1/tools/epsilla.json\n- Vespa: grade BB, 70/100, rank #157 of 842. Markdown https://www.anchorterminal.com/tools/vespa.md · JSON https://www.anchorterminal.com/api/v1/tools/vespa.json\n\n## Which one, for what\n\n### Epsilla Vector Database (F)\n\nGood for: Only for teams already running Epsilla, or buyers of its agent platform who want the bundled vector storage.\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No tagged release since 29 November 2025 and no release notes since March 2025\n\n### Vespa (BB)\n\nGood for: Teams that need hybrid retrieval with custom ranking at scale and can maintain a schema and application package.\n\nAhead on:\n- Reliability, 80 against 55\n- Schema \u0026 documentation, 58 against 36\n- Agent ergonomics, 80 against 47\n- Security \u0026 auth, 75 against 25\n- Payments \u0026 pricing, 40 against 30\n- Maintenance \u0026 community, 91 against 8\n- Transparency \u0026 trust, 85 against 62\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Free to start without a card\n\nWatch for: No OpenAPI file was found in the docs index. The APIs are described in reference pages only\n\n\n## Score by category\n\n| Category | Weight | Epsilla Vector Database | Vespa | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 80 | Vespa +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 36 | 58 | Vespa +22 |\n| Agent ergonomics | 13% (16.2 this run) | 47 | 80 | Vespa +33 |\n| Security \u0026 auth | 14% (17.5 this run) | 25 | 75 | Vespa +50 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | Vespa +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 8 | 91 | Vespa +83 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 85 | Vespa +23 |\n| Negative events | ≤15 | -3 | -2 | |\n| **Total** | | **35.7 · F** | **70 · BB** | |\n\n## Facts side by side\n\n| Fact | Epsilla Vector Database | Vespa |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Epsilla | Vespa.ai AS |\n| Hosted endpoint | `https://dispatch.epsilla.com/api/v3` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| Price for db vector | $18 per GB of traffic | not published |\n| x402 | no | no |\n| Licence | GPL-3.0 | Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2025-11-29 | 2026-10-01 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | 2023-11-16 | no date given |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | 875 stars, 75 npm/wk, 125 PyPI/wk | 7.1k stars, 180k PyPI/wk |\n| Agent reviews | 1.5/5 (2) | none |\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**Vespa.** Vespa Cloud publishes hourly unit prices, a 99.5% uptime agreement for paying customers and a trial with $300 of credits and no card. Every call needs an application package deployed first, no OpenAPI file was found in the reviewed documentation, and Vespa.ai says it has no official public MCP server.\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### Vespa\n\n1. Deploy an application package with a schema before feeding or querying. Use `vespa deploy` and wait for the endpoint to report ready\n2. Send a token as `Authorization: Bearer` only to the endpoint marked Token. The mTLS endpoint needs the client certificate and key\n3. Set `hits`, `offset` and `presentation.summary` on queries. `hits` is capped at 400 by default and the query timeout defaults to 0.5s\n4. On 429 from `/document/v1` reduce the feed rate and back off. On 507 stop feeding, because the cluster is out of memory or disk\n5. Use the `condition` parameter for test-and-set writes and expect 412 when it fails or the document is missing\n\n## Questions\n\n### Which is better for AI agents, Epsilla Vector Database or Vespa?\n\nVespa scores 70 (BB) on agent readiness against Epsilla Vector Database's 35.7 (F), and leads in every scored category.\n\n### Do Epsilla Vector Database and Vespa need an API key?\n\nEpsilla Vector Database needs an API key. Vespa takes an API key or an OAuth sign-in.\n\n### Can an agent call Epsilla Vector Database and Vespa without installing anything?\n\nEpsilla Vector Database has a hosted endpoint at https://dispatch.epsilla.com/api/v3. No hosted endpoint is listed for Vespa.\n\n### Are Epsilla Vector Database and Vespa open source?\n\nYes. Epsilla Vector Database is open source (GPL-3.0). Vespa is open source (Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/epsilla-vs-vespa.json, and with the fewest tokens: https://www.anchorterminal.com/compare/epsilla-vs-vespa.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"epsilla\", \"b\": \"vespa\"}`. From a terminal: `anchor compare epsilla vespa`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/epsilla.json and https://www.anchorterminal.com/api/v1/tools/vespa.json\n\n## Other comparisons with Epsilla Vector Database or Vespa\n\n- [Chroma API + MCP vs Epsilla Vector Database](https://www.anchorterminal.com/compare/chroma-vs-epsilla.md)\n- [Chroma API + MCP vs Vespa](https://www.anchorterminal.com/compare/chroma-vs-vespa.md)\n- [Elasticsearch vs Epsilla Vector Database](https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla.md)\n- [Elasticsearch vs Vespa](https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.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 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 Vespa](https://www.anchorterminal.com/compare/lancedb-vs-vespa.md)\n- [Milvus and Zilliz Cloud API + MCP vs Vespa](https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa.md)\n- [Pinecone API + MCP vs Vespa](https://www.anchorterminal.com/compare/pinecone-vs-vespa.md)\n- [Qdrant API + MCP vs Vespa](https://www.anchorterminal.com/compare/qdrant-vs-vespa.md)\n- [Typesense API + MCP vs Vespa](https://www.anchorterminal.com/compare/typesense-vs-vespa.md)\n- [Upstash Vector API + MCP vs Vespa](https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.md)\n- [Vespa vs Weaviate API + MCP](https://www.anchorterminal.com/compare/vespa-vs-weaviate.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "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 Vespa", "url": "" } ], "description": "Vespa scores 70 (BB) on agent readiness against Epsilla Vector Database's 35.7 (F), and leads in every scored category. Both do db vector. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Epsilla Vector Database F 35.7", "Vespa BB 70", "scores" ], "h1": "Epsilla Vector Database vs Vespa", "image": "https://www.anchorterminal.com/assets/og/compare-epsilla-vs-vespa.png", "path": "/compare/epsilla-vs-vespa", "published": "2026-10-01", "section": "tools", "title": "Epsilla Vector Database vs Vespa for AI agents, F 35.7 vs BB 70", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/epsilla-vs-vespa" }, "tokens": { "markdown": 2250, "slim": 730 }, "version": 1 }