A user on Reddit is exploring the use of Retrieval-Augmented Generation (RAG) to enable local large language models (LLMs) to code more effectively by accessing up-to-date developer documentation. The primary concern is managing the potentially massive volume of documents that would need to be ingested and embedded. The user is seeking the most efficient method to ensure the LLM can utilize the latest API information for specific libraries, particularly in Python. AI
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RANK_REASON User question about a technical approach, not a release or significant event.