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    "excerpt": "Since version `1.2.0`, Orama supports vector search.",
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  },
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/insert.mdx",
    "excerpt": "insertion in Orama is quick and intuitive",
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/search/facets.mdx",
    "excerpt": "users can filter their search results by various criteria, such as category, price range, or other attributes",
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  },
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/search/vector-search.mdx",
    "excerpt": "Being a vector database, Orama allows you to perform vector search natively.",
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  },
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/search/hybrid-search.mdx",
    "excerpt": "Hybrid search is an Orama feature that allows you to perform full-text and vector search in one unique query, combining the results to get the best of both worlds.",
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  },
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx",
    "excerpt": "allows you to perform ChatGPT-like experiences on your website",
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  },
  {
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    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/plugins/plugin-embeddings.mdx",
    "excerpt": "This plugin generates embeddings for your documents at insert and search time, allowing you to perform vector and hybrid searches on your documents.",
    "fetchedAt": "2026-09-06T21:59:00.288Z"
  },
  {
    "id": "orama-docs-8",
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/what-is-orama-cloud.mdx",
    "excerpt": "We offer on-premise support for Orama Cloud, allowing you to deploy the context server on your own infrastructure.",
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  },
  {
    "id": "orama-docs-9",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx",
    "excerpt": "you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other",
    "fetchedAt": "2026-09-06T21:59:00.288Z"
  },
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    "id": "orama-docs-10",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/performing-search/introduction.mdx",
    "excerpt": "Orama Cloud gives you the flexibility to choose the search algorithm that best suits your needs.",
    "fetchedAt": "2026-09-06T21:59:00.288Z"
  },
  {
    "id": "orama-docs-11",
    "tier": "claimed-docs",
    "url": "https://docs.orama.com/llms-full.txt",
    "excerpt": "A data source identifies a specific set of documents, ideally coming from a single origin.",
    "fetchedAt": "2026-09-06T21:59:00.288Z"
  },
  {
    "id": "orama-docs-12",
    "tier": "claimed-docs",
    "url": "https://orama.com/pricing",
    "excerpt": "The open-source search library. Add fast, relevant search to your own application at no cost.",
    "fetchedAt": "2026-09-06T21:59:00.288Z"
  },
  {
    "id": "orama-gh-1",
    "tier": "github",
    "url": "https://github.com/oramasearch/orama",
    "excerpt": "Stemming and tokenization in 30 languages",
    "fetchedAt": "2026-09-06T21:59:00.288Z"
  },
  {
    "id": "orama-docs-13",
    "tier": "claimed-docs",
    "url": "https://orama.com",
    "excerpt": "turns a question into a straight answer with the sources behind it",
    "fetchedAt": "2026-09-06T21:59:00.288Z"
  },
  {
    "id": "orama-docs-14",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/create.mdx",
    "excerpt": "Orama supports nested properties natively. Just add them as you would typically do in any JavaScript object",
    "fetchedAt": "2026-09-06T21:59:00.288Z"
  },
  {
    "id": "orama-docs-15",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/create.mdx",
    "excerpt": "We can create a new instance (from now on database) with an **indexing `schema`**.",
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  },
  {
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    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/insert.mdx",
    "excerpt": "Inserting a large number of documents in a loop could potentially block the event loop. Instead `insertMultiple` handles this case better.",
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  },
  {
    "id": "orama-docs-17",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/search/facets.mdx",
    "excerpt": "Orama will be able to generate facets at search-time based on the schema.",
    "fetchedAt": "2026-09-06T22:01:16.141Z"
  },
  {
    "id": "orama-docs-18",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx",
    "excerpt": "AnswerSession** that allows you to perform ChatGPT-like experiences on your website. It uses a free feature from Orama Cloud called **Secure Proxy** to proxy your queries to the OpenAI API, so you don't need to worry about sharing the API key on the client-side.",
    "fetchedAt": "2026-09-06T22:01:16.141Z"
  },
  {
    "id": "orama-docs-19",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx",
    "excerpt": "The APIs are designed to be as close as possible to the **Orama Cloud** APIs, so you can easily migrate your projects from **Orama Cloud** to **Orama Open Source** and vice-versa.",
    "fetchedAt": "2026-09-06T22:01:16.141Z"
  },
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    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx",
    "excerpt": "Every Orama Cloud project comes with an MCP server that is automatically configured to interact with your project's data.",
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  },
  {
    "id": "orama-docs-21",
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/performing-search/introduction.mdx",
    "excerpt": "Orama Cloud officially supports the following SDKs: - JavaScript/TypeScript - Python - Rust",
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  },
  {
    "id": "orama-docs-22",
    "tier": "claimed-docs",
    "url": "https://docs.orama.com/llms-full.txt",
    "excerpt": "you can put data that will be updated frequently in a single data source (let's call it `docs`), and put data that follows a different update schedule in another data source",
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  },
  {
    "id": "orama-gh-2",
    "tier": "github",
    "url": "https://github.com/oramasearch/orama",
    "excerpt": "Full-Text search... Vector Search... Hybrid Search... Search Filters... Geosearch... Pinning Rules (Merchandising)... Facets... Typo Tolerance",
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  },
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    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/create.mdx",
    "excerpt": "Orama supports the following types: | Type | Description | Example | | ---------------- | ------------------------------------------------ | --------------------------------- | | `string` |",
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  },
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/insert.mdx",
    "excerpt": "If you have a lot of records, we suggest using the `insertMultiple` function",
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  },
  {
    "id": "orama-docs-25",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx",
    "excerpt": "AnswerSession** that allows you to perform ChatGPT-like experiences on your website.",
    "fetchedAt": "2026-09-06T22:02:44.961Z"
  },
  {
    "id": "orama-docs-26",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/performing-search/introduction.mdx",
    "excerpt": "Full-text search - Vector search - Hybrid search - AI-powered NLP search",
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  },
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    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/search/facets.mdx",
    "excerpt": "Facets are a powerful tool for filtering and narrowing down search results on the Orama search engine.",
    "fetchedAt": "2026-09-06T22:04:22.743Z"
  },
  {
    "id": "orama-docs-28",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx",
    "excerpt": "we introduced a new feature called **AnswerSession** that allows you to perform ChatGPT-like experiences on your website.",
    "fetchedAt": "2026-09-06T22:04:22.743Z"
  },
  {
    "id": "orama-docs-29",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/answer-engine.mdx",
    "excerpt": "so you can easily migrate your projects from **Orama Cloud** to **Orama Open Source** and vice-versa",
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  },
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    "id": "orama-docs-30",
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/cloud/mcp-server.mdx",
    "excerpt": "you'll be able to interact with your data from different AI interfaces, including ChatGPT, Cursor, and many other.",
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  },
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    "id": "orama-docs-31",
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    "url": "https://docs.orama.com/llms-full.txt",
    "excerpt": "A project is a set of **data sources** that you want to use for RAG, search, or any other method of retrieval.",
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  },
  {
    "id": "orama-docs-32",
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    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/create.mdx",
    "excerpt": "The schema represents the searchable properties of the document to be inserted.",
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  },
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    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/usage/insert.mdx",
    "excerpt": "Instead insertMultiple handles this case better.",
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  },
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    "id": "orama-docs-34",
    "tier": "claimed-docs",
    "url": "https://raw.githubusercontent.com/oramasearch/docs/refs/heads/main/content/docs/orama-js/search/facets.mdx",
    "excerpt": "the Orama Faceted Search API is the perfect solution for adding faceted search functionality to your project",
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  },
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    "excerpt": "With Orama 3.0, we introduced a new feature called AnswerSession that allows you to perform ChatGPT-like experiences on your website.",
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  },
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    "url": "https://docs.orama.com/llms-full.txt",
    "excerpt": "A project is a set of data sources that you want to use for RAG, search, or any other method of retrieval.",
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  },
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    "id": "orama-gh-3",
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    "url": "https://github.com/oramasearch/orama",
    "excerpt": "Typo Tolerance",
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  },
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    "id": "orama-gh-4",
    "tier": "github",
    "url": "https://github.com/oramasearch/orama",
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  },
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    "id": "orama-gh-5",
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    "excerpt": "Geosearch",
    "fetchedAt": "2026-09-16T20:54:24.234Z"
  },
  {
    "id": "orama-probe-1",
    "tier": "probe",
    "url": "https://docs.orama.com/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 200 at https://docs.orama.com/llms.txt # Docs\n\n## cloud\n\n- [Introduction to Orama Cloud](/docs/cloud): Run Orama at scale. Managed.\n- [MCP Server](/docs/cloud/",
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  },
  {
    "id": "orama-probe-2",
    "tier": "probe",
    "url": "https://docs.orama.com/openapi.json",
    "excerpt": "PROBE openapi: all candidate paths 404 (https://docs.orama.com/openapi.json, https://docs.orama.com/swagger.json, https://docs.orama.com/api/openapi.json, https://docs.orama.com/.well-known/openapi.json)",
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