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It exports functions to load indexes into system memory, save new items and compare similarity between saved documents and prompts using in-memory operations.\n\n[Demo]()\n\n## Getting Started\n\n**Prerequisites**\n\n```json\n{\n  \"blueband_db_provider\": {\n    \"type\": \"custom\",\n    \"candid\": \"https://github.com/acgodson/blueband-db/releases/download/v0.0.9/blueband-db-backend.did\",\n    \"wasm\": \"https://github.com/acgodson/blueband-db/releases/download/v0.0.9/blueband-db-backend.wasm.gz\"\n  }\n}\n```\n\n\n## Usage\n\n    1.\tInitialize an Index\n\nConnect to the actor and initialize an index:\n\n```typescript\nimport {actor} from \"./provider_actor_path\";\nimport { useBlueBand } from \"ic-use-blueband\";\n\nconst ReactComponent = () = {\nconst { initializeIndex} = useBlueband();\n\nconst collectionId = \"unique collection_id\";\ncons config = {\n    collection: collectionId,\n    api_key: OPENAI_KEY,\n    /*chunk options*/\n}\n\nawait initializeIndex(actor, config);\n```\n\n    2.\tAdd Items\n\nAdd documents to the index:\n\n```typescript\nconst { AddItem, Query } = useBlueband();\n\nconst title = \"Document Title or Url\";\nconst content = \"Document content...\";\n\nawait AddItem(title, content);\n```\n\n    3.  Query Items\n\nQuery the index to find documents similar to a given prompt:\n\n```typescript\nconst { Query } = useBlueband();\n\nconst results = await Query(\"query text\");\n\n//Results are ranked by similarity scores:\n\n// [\n//   {\n//     \"title\": \"Document Title\",\n//     \"id\": \"document_id\",\n//     \"score\": 0.951178544877223,\n//     \"chunks\": 1,\n//     \"sections\": [\n//       /*...*/\n//     ],\n//     \"tokens\": 156\n//   },\n//   {\n//     \"title\": \"Document Title\",\n//     \"id\": \"document_id\",\n//     \"score\": 0.726565512777365,\n//     \"chunks\": 4,\n//     \"sectio ns\": [\n//       /*...*/\n//     ],\n//     \"tokens\": 500\n//   }\n// ]\n```\n","readmeFilename":"README.md"}