Closed leehuwuj closed 2 months ago
Latest commit: a1e8bbd7ba185f0da53284513b34fe716a39ef67
The changes in this PR will be included in the next version bump.
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This update introduces a new integration of a Weaviate vector store into the existing TypeScript application, enhancing its capabilities for managing vector embeddings essential for AI and machine learning tasks. It modifies document processing to explicitly manage metadata, impacting how documents are queried based on their visibility. Several enhancements streamline operations within vector databases, emphasizing improved data handling and filtering mechanisms.
Files | Change Summary |
---|---|
.changeset/chilly-toys-bow.md |
Introduced Weaviate vector store integration, enhancing vector embedding management and retrieval processes. |
templates/components/loaders/typescript/file/loader.ts templates/components/loaders/typescript/llama_parse/loader.ts |
Updated getDocuments function to include metadata processing that marks all documents as public. |
templates/components/vectordbs/typescript/llamacloud/generate.ts templates/components/vectordbs/typescript/none/generate.ts |
Removed code setting documents as public, simplifying document privacy handling. |
templates/components/vectordbs/typescript/weaviate/generate.ts |
Implemented loading and indexing of documents into Weaviate, including environment variable validation. |
templates/components/vectordbs/typescript/weaviate/index.ts |
Added getDataSource function for vector storage retrieval and management. |
templates/components/vectordbs/typescript/weaviate/queryFilter.ts |
Created generateFilters function for querying documents based on privacy status. |
templates/components/vectordbs/typescript/weaviate/shared.ts |
Introduced environment variable management functions, ensuring all required variables are present. |
templates/types/streaming/express/package.json templates/types/streaming/nextjs/package.json |
Updated llamaindex dependency from version 0.5.14 to 0.5.17 . |
sequenceDiagram
participant User
participant App
participant Weaviate
User->>App: Request to load and index documents
App->>App: Retrieve documents
App->>Weaviate: Initialize Weaviate vector store
App->>Weaviate: Upload documents as embeddings
Weaviate-->>App: Acknowledge successful indexing
App-->>User: Confirm documents indexed
🐰✨ In the garden of code, where changes bloom bright,
A Weaviate vector store brings new delight.
Documents now public, their secrets laid bare,
With filters and functions, we dance without care.
Hop along, dear coder, let the features take flight,
For in this brave update, our future's in sight! 🌼✨
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Summary by CodeRabbit
New Features
Bug Fixes
Chores
llamaindex
library version for potential improvements and bug fixes.