Detailed Analysis
Users of Anthropic's Claude platform are reporting increasing reliability issues with Project Knowledge file indexing, particularly for projects that integrate Google Drive documents as knowledge sources. The original poster maintains several Claude projects each containing between five and eleven Google Docs-connected knowledge files, and has observed inconsistent synchronization behavior over recent days — with some updated documents registering changes immediately while others, including a 24-page document, failed to sync overnight. Paradoxically, a larger 32-page document indexed without issue, suggesting the problem is not simply a matter of document size. The user also notes an anomalous UI behavior in which some knowledge files display an MCP (Model Context Protocol) icon rather than the expected Google Drive indicator, hinting at possible backend infrastructure changes affecting how file sources are classified or processed.
The indexing inconsistency described reflects a broader, well-documented tension in how retrieval-augmented generation (RAG) systems handle large or frequently updated knowledge bases. Community consensus within the Claude subreddit has converged on a threshold concern: projects with twelve or more knowledge files appear more prone to RAG-related degradation, likely because the system must balance context window constraints against retrieval relevance scoring across a larger corpus. The fact that users are receiving conflicting advice — with some advocating for direct Markdown files and others preferring Google Docs — underscores the absence of a clear, officially documented best practice from Anthropic regarding knowledge file formats and update cadence. The disconnect/reconnect workaround the user employs is a symptom of a system that lacks robust real-time sync guarantees between third-party cloud storage and Claude's internal indexing pipeline.
The mention of Cowork as a potential remedy is significant context for where Anthropic's product development is heading. Cowork, which now supports project imports and local file hosting, represents a shift toward giving users more direct control over their knowledge file infrastructure, bypassing the latency and reliability variability introduced by OAuth-dependent Google Drive integrations. The appearance of MCP icons on what should be Google Drive-sourced files suggests that Claude's backend may be routing some document retrievals through the Model Context Protocol layer rather than native Drive connectors — a transition that, if unintentional or partially deployed, could explain the erratic behavior users are experiencing during what may be a migration or infrastructure update period.
The broader trend this episode reflects is the growing complexity of managing persistent, file-based context in production AI workflows. As users push Claude projects toward more sophisticated, multi-document knowledge architectures, the gap between the platform's intended design and real-world usage patterns becomes more visible. Anthropic faces a common challenge among AI platform providers: the tooling for knowledge management — indexing pipelines, sync reliability, format normalization, and context retrieval — must mature at pace with user expectations that have been shaped by capable but fundamentally different enterprise knowledge tools. Until Anthropic provides clearer documentation on file limits, supported formats, and sync behavior, users will continue to rely on community-sourced heuristics and workarounds of uncertain durability.
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