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run-llama / create-llama

The easiest way to get started with LlamaIndex
MIT License
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Use ingestion pipeline #74

Closed leehuwuj closed 3 months ago

leehuwuj commented 3 months ago

This PR is not ready to merge because we're having issue with llama_index ingestion pipeline. Experiment notebook: https://drive.google.com/file/d/1b19t5n6jtfex2UuKCRgxzNaCzk8a1ady/view?usp=sharing

Summary by CodeRabbit

changeset-bot[bot] commented 3 months ago

⚠️ No Changeset found

Latest commit: da9ca2cfc966449ad322d9828b6ceda5192019fb

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Commits Files that changed from the base of the PR and between 8d2562597067a4cbe33da1ed11fb670d47e009ae and da9ca2cfc966449ad322d9828b6ceda5192019fb.

Walkthrough

The recent updates introduce logging and enhanced exception handling in the file.py script, dynamic storage directory configuration based on environment variables in vector database scripts, and new functions for managing ingestion pipelines and index generation in the FastAPI application. These changes improve error handling, configurability, and functionality for data processing and storage.

Changes

Files/Paths Change Summary
templates/components/loaders/python/file.py Added logging functionality and improved exception handling for empty data directories.
templates/components/vectordbs/python/none/generate.py Updated generate_datasource to use the STORAGE_DIR environment variable for dynamic storage directory paths.
templates/components/vectordbs/python/none/index.py Updated storage directory logic to use the STORAGE_DIR environment variable, removing static constant import.
templates/types/streaming/fastapi/app/engine/generate.py Introduced functions for managing ingestion pipelines, storing documents, and generating data sources.
templates/types/streaming/fastapi/app/engine/index.py Added get_index() function to connect to a vector store and load an index.

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