Unverified50% confidenceFactExact time
A 1M-token context window means a single request can hold hundreds of pages of documents or large-scale code repository fragments.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe context window refers to the maximum number of tokens that can be accommodated in a single LLM request, including the system prompt, all historical messages, tool return results and the current turn's input.68% similarUnverifiedIn RAG architecture, original pages are split into chunks (usually a few hundred tokens), mapped into high-dimensional vectors via embedding models (such as OpenAI's text-embedding series), stored in a vector database, and when a user asks a question the most relevant passages are recalled by cosine similarity.66% similarUnverifiedThe relevant files for a medium-sized MLOps project (notebooks, multiple SQL files, multiple YAML configuration files) may collectively exceed tens of thousands of tokens.61% similarVerifiedRAG addresses the limitation of large models' knowledge cutoff dates by splitting private documents into text chunks, converting them into vector representations stored in a vector database, and injecting retrieved relevant content into the Prompt.59% similarUnverifiedThe extension comes pre-loaded with over a thousand curated cases, which can be batch-imported into the library with one click via the 'Featured Cases' page.59% similar
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