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@itsclelia

How can you improve your agentic search pipeline? I just wrote a blog post with @tech_optimist from @lancedb to answer exactly that. TLDR: - Parse files and take page-level screenshots with LiteParse, the parser we just open sourced at @llama_index - Chunk and embed text, and store everything (text, image bytes, vector data) in a local LanceDB instance - Expose text and image retrieval tools to a Claude agent, and let it reason on both data types With our eval dataset, the agent got near-perfect scores on most complex QA tasks, showing how a strong parsing foundation and multimodal retrieval can really improve your search🚀 Read the full breakdown here: https://t.co/5GRRy065TI

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