GitHub - langchain-ai/rag-from-scratch
LLMs are trained on a large but fixed corpus of data, limiting their ability to reason about private or recent information. Fine-tuning is one way to mitigate this, but is often not well-suited for facutal recall and can be costly. Retrieval augmented generation (RAG) has emerged as a popular and powerful mechanism to expand an LLM's knowledge base, using documents retrieved from an external data
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Is there any quick way to save generated Documents and reload it? · Issue #3016 · langchain-ai/langchain
GitHub - langchain-ai/langchain: 🦜🔗 Build context-aware reasoning applications
