Rank #4 of 5 in Search Infrastructure
Install
npm install @orama/orama
vs Algolia
vs Meilisearch
vs Typesense
vs ElasticsearchShowcase
Try itExperimental
See what an agent can do with Orama before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).
$npm i @orama/orama && node -e 'create → insert ×2 → search({ term: "infrastucture", tolerance: 2 })' # in-process, no serverrecorded session — replayed, not liveVerified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
By theme — the product's score on each story themeBy theme
Agent search — stories about agent search in this arenaAgent searchevidence →
Stories about agent search in this arena
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Ai search — stories about ai search in this arenaAi searchevidence →
Stories about ai search in this arena
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Developer experience — stories about developer experience in this arenaDeveloper experienceevidence →
Stories about developer experience in this arena
Indexing pipelines — stories about indexing pipelines in this arenaIndexing pipelinesevidence →
Stories about indexing pipelines in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Operations scale — stories about operations scale in this arenaOperations scaleevidence →
Stories about operations scale in this arena
Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plansevidence →
Plan structure and value — what each tier costs and what it unlocks
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Relevance tuning — stories about relevance tuning in this arenaRelevance tuningevidence →
Stories about relevance tuning in this arena
Search experience — stories about search experience in this arenaSearch experienceevidence →
Stories about search experience in this arena
Security multitenancy — stories about security multitenancy in this arenaSecurity multitenancyevidence →
Stories about security multitenancy in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 20 free · 0 paid · 0 enterprise · 9 not stated in evidence
Follow the green: where the map greys out is where Orama stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agent search — stories about agent search in this arenaAgent search
Stories about agent search in this arena
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
~6/10
unlocks → Webhooks · Scoped API keys · Machine-readable spec · Versioning policy · API sandbox · Official CLI · Full data export
Subscribe to events via webhooks
—–
Build against official SDKs
✓8/10
Issue scoped/least-privilege API credentials for an agent
—0/10
Connect an agent via an official MCP server
✓8/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
—–
Explore an interactive API reference with runnable examples
—0/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓8/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
~4/10
Operate the product with natural-language commands
~7/10
unlocks → Autonomous automations
Plug MCP servers into this product so it can use their tools
n/an/a
Get AI-generated insights and suggestions from my data inside the product
✓7/10
Set up automations that run autonomously in the background
—–
Ai search — stories about ai search in this arenaAi search
Stories about ai search in this arena
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Developer experience — stories about developer experience in this arenaDeveloper experience
Stories about developer experience in this arena
Create an index, add documents, and run my first search within minutes of starting the quickstart
~6/10
Official SDKs cover my language and framework, kept current across JavaScript, Python, PHP, Ruby, Go, and more
~4/10
Official UI component libraries let me assemble a full search interface — box, results, facets, pagination — without building it from scratch
—–
Indexing pipelines — stories about indexing pipelines in this arenaIndexing pipelines
Stories about indexing pipelines in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Operations scale — stories about operations scale in this arenaOperations scale
Stories about operations scale in this arena
Built-in analytics show top queries, no-result queries, and click-through so I know what users search for and miss
—–
Documented scaling paths — clustering, replication, high availability — carry me from prototype to hundreds of millions of documents
—0/10
Self-host the full engine — same features as the hosted product — on my own infrastructure
~6/10
Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans
Plan structure and value — what each tier costs and what it unlocks
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Relevance tuning — stories about relevance tuning in this arenaRelevance tuning
Stories about relevance tuning in this arena
Search experience — stories about search experience in this arenaSearch experience
Stories about search experience in this arena
Security multitenancy — stories about security multitenancy in this arenaSecurity multitenancy
Stories about security multitenancy in this arena
Sorted by importance (agentic first) (high → low) · 53/53 stories · click a row’s chevron for the rationale and evidence
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | partialfree | 6/10 | Tprobed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | partialfree | 4/10 | Cclaimed | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | n/a | 0/10 | ||
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | fullfree | 8/10 | Tprobed | |
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | fullfree | 7/10 | Cclaimed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 7/10 | Tprobed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partialfree | 6/10 | Cclaimed | |
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | nonefree | untested | none yet | |
Run hybrid search — semantic vector similarity fused with keyword matching — in a single query C Hybrid | developer | Ai search — stories about ai search in this arenaAi search | 3 | fullfree | 9/10 | Cclaimed | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | fullfree | 7/10 | Cclaimed | |
Create an index, add documents, and run my first search within minutes of starting the quickstart C Onboarding | developer | Developer experience — stories about developer experience in this arenaDeveloper experience | 3 | partialfree | 6/10 | Cclaimed | |
My coding agent can create an index, add documents, and run queries end to end — through the API, CLI, or MCP without touching a dashboard C Agent ops | ai-native user | Agent search — stories about agent search in this arenaAgent search | 3 | partialfree | 6/10 | Tprobed | |
Self-host the full engine — same features as the hosted product — on my own infrastructure G Self host | platform-engineer | Operations scale — stories about operations scale in this arenaOperations scale | 3 | partialfree | 6/10 | Cclaimed | |
Deliver as-you-type instant search with millisecond responses so results update on every keystroke C Experience | developer | Search experience — stories about search experience in this arenaSearch experience | 3 | partialfree | 5/10 | Cclaimed | |
Searches tolerate typos and misspellings out of the box, with tunable rules for when and how fuzzy matching applies C Experience | developer | Search experience — stories about search experience in this arenaSearch experience | 3 | partialfree | 4/10 | Cclaimed | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | none | 0/10 | ||
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | 0/10 | ||
Published per-unit pricing (searches, records, or nodes) lets me predict what search will cost before committing G Pricing | founder | Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans | 3 | none | 0/10 | ||
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | untested | none yet | |
Agents can use my search indexes as a tool — an MCP server or tool-calling surface exposes query, analytics, and index operations C Agent ops | ai-native user | Agent search — stories about agent search in this arenaAgent search | 2 | full | 8/10 | Tprobed | |
Build faceted navigation — filters with live counts across categories, ranges, and attributes — from a single query C Filtering | developer | Search experience — stories about search experience in this arenaSearch experience | 2 | fullfree | 8/10 | Cclaimed | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | fullfree | 7/10 | Cclaimed | |
Use built-in or managed embedders so documents and queries are vectorized without running my own embedding pipeline C Hybrid | developer | Ai search — stories about ai search in this arenaAi search | 2 | partialfree | 6/10 | Cclaimed | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | partial | 5/10 | Cclaimed | |
Define synonyms and curate results — pin, boost, or hide specific hits for specific queries C Curation | developer | Relevance tuning — stories about relevance tuning in this arenaRelevance tuning | 2 | partial | 5/10 | Cclaimed | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 5/10 | Tprobed | |
Document adds, updates, and deletes become searchable in near real time without a full reindex C Ingestion | developer | Indexing pipelines — stories about indexing pipelines in this arenaIndexing pipelines | 2 | partial | 5/10 | Cclaimed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partialfree | 5/10 | Cclaimed | |
Shape relevance with custom ranking rules and business signals (popularity, recency, margin) beyond textual matching C Ranking | developer | Relevance tuning — stories about relevance tuning in this arenaRelevance tuning | 2 | partialfree | 5/10 | Cclaimed | |
Official SDKs cover my language and framework, kept current across JavaScript, Python, PHP, Ruby, Go, and more G Sdks | developer | Developer experience — stories about developer experience in this arenaDeveloper experience | 2 | partial | 4/10 | Cclaimed | |
Bulk-import millions of documents quickly, with async task tracking to know when indexing completes C Ingestion | platform-engineer | Indexing pipelines — stories about indexing pipelines in this arenaIndexing pipelines | 2 | partialfree | 3/10 | Cclaimed | |
Costs stay predictable as records and query volume grow — no surprise per-request cliffs G Pricing | founder | Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans | 2 | none | 0/10 | ||
Documented scaling paths — clustering, replication, high availability — carry me from prototype to hundreds of millions of documents C Scale | platform-engineer | Operations scale — stories about operations scale in this arenaOperations scale | 2 | none | 0/10 | ||
Built-in analytics show top queries, no-result queries, and click-through so I know what users search for and miss C Analytics | founder | Operations scale — stories about operations scale in this arenaOperations scale | 2 | none | untested | none yet | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Official UI component libraries let me assemble a full search interface — box, results, facets, pagination — without building it from scratch C Ui libraries | developer | Developer experience — stories about developer experience in this arenaDeveloper experience | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
Scoped or tenant tokens restrict each end user's searches to their own documents without separate indexes per user C Tenancy | developer | Security multitenancy — stories about security multitenancy in this arenaSecurity multitenancy | 2 | none | untested | none yet | |
Serve query suggestions and autocomplete backed by real search traffic or a suggestions index C Experience | developer | Search experience — stories about search experience in this arenaSearch experience | 2 | none | untested | none yet | |
Power RAG and conversational answers on top of my indexes with documented retrieval or answer APIs C Rag | developer | Ai search — stories about ai search in this arenaAi search | 1 | fullfree | 8/10 | Tprobed | |
Ingest content with an official crawler or connectors instead of writing my own indexing pipeline C Connectors | founder | Indexing pipelines — stories about indexing pipelines in this arenaIndexing pipelines | 1 | partial | 3/10 | Cclaimed | |
Inspect ranking scores or explanations to understand exactly why a result ranked where it did C Ranking | platform-engineer | Relevance tuning — stories about relevance tuning in this arenaRelevance tuning | 1 | none | 0/10 | ||
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | n/a | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 41 stories with headroom
What would move Orama’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Automation depth — how much of the product can run unattendedDefine rules that trigger actions automatically on events
nonemoves PA Scoreimpact 30
Missing: any documentation of event listeners, triggers, webhooks, or conditional automation logic tied to data or search events.
Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave
nonemoves PA Scoreimpact 30
The evidence pack never documents an explicit data-export or persistence feature (no mention of exporting indexes/documents to JSON, CSV, or any open format); only vague notes about migrating between Orama Cloud and Orama OSS APIs (orama-docs-19/29) exist, which is not the same as user-initiated data export.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
The evidence pack covers Orama's search/vector/AI features and cloud/MCP capabilities but contains no explicit statement, policy, or documentation about preventing user data from being used to train AI models (e.g., no data-usage/training opt-out policy, no statement about third-party model providers not retaining data for training).
Pricing plans — plan structure and value — what each tier costs and what it unlocksPublished per-unit pricing (searches, records, or nodes) lets me predict what search will cost before committing
nonemoves PA Scoreimpact 30
Missing: any documented pricing tiers, unit costs, or usage-based pricing calculator for Orama Cloud.
Agenticness — how well agents can access and operate the productSet up automations that run autonomously in the background
nonemoves Built-in AIimpact 30
No evidence in the pack shows Orama offering scheduled tasks, triggers, or autonomous background automations; its documented features are search, indexing, vector/hybrid search, and an MCP server for interactive querying, not self-running automation workflows.
Agenticness — how well agents can access and operate the productUse an official CLI
nonemoves agent-readyimpact 30
Missing: any documented CLI command/tool, installation instructions for a CLI, or CLI usage examples.
Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent
nonemoves agent-readyimpact 30
Missing: any documentation of role-based or scoped API key generation, permission scopes, or agent-specific credential issuance.
Agenticness — how well agents can access and operate the productSubscribe to events via webhooks
nonemoves agent-readyimpact 30
No evidence of webhook subscription support anywhere in the docs or probes; Orama's event-driven integration is limited to an MCP server and SDKs, not webhooks.
Showing the top 8 of 41 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map7 surfaces · 29 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
GitHub README28 stories
- My coding agent can create an index, add documents, and run queries end to end — through the API, CLI, or MCP without touching a dashboard
- Agents can use my search indexes as a tool — an MCP server or tool-calling surface exposes query, analytics, and index operations
- Run the product headlessly / in CI for automation
- Connect an agent via an official MCP server
- Drive the product through a documented public API
- Build against official SDKs
- Get AI-generated insights and suggestions from my data inside the product
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Use built-in or managed embedders so documents and queries are vectorized without running my own embedding pipeline
- Run hybrid search — semantic vector similarity fused with keyword matching — in a single query
- Power RAG and conversational answers on top of my indexes with documented retrieval or answer APIs
- Perform bulk operations across many items at once
- Create an index, add documents, and run my first search within minutes of starting the quickstart
- Official SDKs cover my language and framework, kept current across JavaScript, Python, PHP, Ruby, Go, and more
- Ingest content with an official crawler or connectors instead of writing my own indexing pipeline
- Bulk-import millions of documents quickly, with async task tracking to know when indexing completes
- Document adds, updates, and deletes become searchable in near real time without a full reindex
- Do everything through the API that I can do in the UI
- Read the product's source under an open license
- Self-host the core product
- Self-host the full engine — same features as the hosted product — on my own infrastructure
- Choose where my data is stored (region/residency)
- Define synonyms and curate results — pin, boost, or hide specific hits for specific queries
- Shape relevance with custom ranking rules and business signals (popularity, recency, margin) beyond textual matching
- Deliver as-you-type instant search with millisecond responses so results update on every keystroke
- Searches tolerate typos and misspellings out of the box, with tunable rules for when and how fuzzy matching applies
- Build faceted navigation — filters with live counts across categories, ranges, and attributes — from a single query
docs8 stories
- My coding agent can create an index, add documents, and run queries end to end — through the API, CLI, or MCP without touching a dashboard
- Agents can use my search indexes as a tool — an MCP server or tool-calling surface exposes query, analytics, and index operations
- Connect an agent via an official MCP server
- Drive the product through a documented public API
- Build against official SDKs
- Operate the product with natural-language commands
- Power RAG and conversational answers on top of my indexes with documented retrieval or answer APIs
- Do everything through the API that I can do in the UI
Pricing docs6 stories
- Run the product headlessly / in CI for automation
- Read the product's source under an open license
- Self-host the core product
- Self-host the full engine — same features as the hosted product — on my own infrastructure
- Choose where my data is stored (region/residency)
- Deliver as-you-type instant search with millisecond responses so results update on every keystroke
Llms full docs5 stories
- Point an agent at llms.txt or agent-oriented docs
- Get AI-generated insights and suggestions from my data inside the product
- Power RAG and conversational answers on top of my indexes with documented retrieval or answer APIs
- Ingest content with an official crawler or connectors instead of writing my own indexing pipeline
- Document adds, updates, and deletes become searchable in near real time without a full reindex
orama.com4 stories
llms.txt3 stories
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$npm i @orama/orama && node -e 'create → insert ×2 → search({ term: "infrastucture", tolerance: 2 })' # in-process, no serverreproduced$ npm i @orama/orama && node -e 'create → insert ×2 → search({ term: "infrastucture", tolerance: 2 })' # in-process, no server
PA_PROBE_OK hits=1 ["search infrastructure arena"]
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
3 of 12 testable claims verified · 0 contradicted → integrity 25/100
25 distinct capability claims found in Orama’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
3
Verified
9
Unverified
0
Contradicted
17
Undersold
Verified (5)
“AnswerSession feature delivers ChatGPT-like conversational Q&A experiences on your website”
Power RAG and conversational answers on top of my indexes with documented retrieval or answer APIsfullproof ↗
“Turns a question into a direct answer with the supporting sources cited”
Power RAG and conversational answers on top of my indexes with documented retrieval or answer APIsfullproof ↗
“Every Orama Cloud project ships with an automatically configured MCP server for agent access”
“Lets you interact with your data from AI interfaces like ChatGPT and Cursor”
Agents can use my search indexes as a tool — an MCP server or tool-calling surface exposes query, analytics, and index operationsfullproof ↗
“A project groups multiple data sources for RAG, search, or other retrieval use cases”
Power RAG and conversational answers on top of my indexes with documented retrieval or answer APIsfullproof ↗
Unverified (12)
“Supports native vector search (vector database) since v1.2.0”
Run hybrid search — semantic vector similarity fused with keyword matching — in a single queryfullproof ↗
“Hybrid search fuses full-text and vector results in a single query”
Run hybrid search — semantic vector similarity fused with keyword matching — in a single queryfullproof ↗
“Lets users filter search results by category, price range, and other attributes”
Build faceted navigation — filters with live counts across categories, ranges, and attributes — from a single queryfullproof ↗
“Generates facets at search time based on the schema to narrow results”
Build faceted navigation — filters with live counts across categories, ranges, and attributes — from a single queryfullproof ↗
“A plugin auto-generates embeddings for documents at insert and search time”
Use built-in or managed embedders so documents and queries are vectorized without running my own embedding pipelinepartialproof ↗
“Offers on-premise deployment of the Orama Cloud context server on your own infrastructure”
Self-host the full engine — same features as the hosted product — on my own infrastructurepartialproof ↗
“Open-source search library free to add fast, relevant search to your app”
“insertMultiple lets you bulk-insert large numbers of documents without blocking the event loop”
Bulk-import millions of documents quickly, with async task tracking to know when indexing completespartialproof ↗
“Officially supports JavaScript/TypeScript, Python, and Rust SDKs”
Official SDKs cover my language and framework, kept current across JavaScript, Python, PHP, Ruby, Go, and morepartialproof ↗
“Supports pinning rules for merchandising to boost or feature specific results”
Define synonyms and curate results — pin, boost, or hide specific hits for specific queriespartialproof ↗
“Built-in typo tolerance for fuzzy matching in search”
Searches tolerate typos and misspellings out of the box, with tunable rules for when and how fuzzy matching appliespartialproof ↗
“Supports full-text, vector, hybrid, and AI-powered NLP search modes”
Run hybrid search — semantic vector similarity fused with keyword matching — in a single queryfullproof ↗
Undersold (17)
My coding agent can create an index, add documents, and run queries end to end — through the API, CLI, or MCP without touching a dashboardpartialproof ↗
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationpartialproof ↗
Drive the product through a documented public APIpartialproof ↗
Get AI-generated insights and suggestions from my data inside the productfullproof ↗
Delegate tasks to a built-in AI assistant inside the productpartialproof ↗
Operate the product with natural-language commandspartialproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Create an index, add documents, and run my first search within minutes of starting the quickstartpartialproof ↗
Ingest content with an official crawler or connectors instead of writing my own indexing pipelinepartialproof ↗
Document adds, updates, and deletes become searchable in near real time without a full reindexpartialproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Choose where my data is stored (region/residency)partialproof ↗
Shape relevance with custom ranking rules and business signals (popularity, recency, margin) beyond textual matchingpartialproof ↗
Deliver as-you-type instant search with millisecond responses so results update on every keystrokepartialproof ↗
Claims outside our story set (8)
Real capability claims found in Orama’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Secure Proxy relays AnswerSession queries to OpenAI so the API key is never exposed client-side”
source ↗“Orama Cloud lets you choose which search algorithm best suits your needs”
source ↗“A data source identifies a specific set of documents from a single origin”
source ↗“Stemming and tokenization supported in 30 languages”
source ↗“Nested JSON properties are supported natively in the schema”
source ↗“Open-source APIs mirror Orama Cloud APIs, enabling easy migration between Cloud and OSS”
source ↗“You can split data across multiple data sources based on differing update schedules”
source ↗“Supports geosearch queries”
source ↗
Business model
Apache-2.0 open-source TypeScript search engine that runs in-process anywhere JavaScript runs; Orama Cloud adds managed indexes and AI answer sessions with a free tier and paid plans.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Try Experimental
Run it in the microterminal →Recorded agent sessions — and a live MCP handshake where the vendor ships one.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
Agent surface uptime llms.txt 100% (30d, checked every 6h since Sep 8 '26)