This PR adds documentation for two new integrations:

• MRR Reranker (integrations/reranking/mrr.mdx) - Mean Reciprocal Rank algorithm for combining and reranking search results from hybrid and multivector searches
• ColPali Embedding (integrations/embedding/colpali.mdx) - Multi-vector embeddings for multimodal retrieval using ColPali models

Changes

New Documentation

• Added MRR Reranker docs with usage examples, accepted arguments, and supported score types
• Added ColPali embedding docs with setup, supported models, parameters, and text search examples

Updated Files

• docs.json - Added navigation entries for both new pages
• snippets/integrations.mdx - Auto-generated snippets from test markers
• tests/py/test_integrations.py - Added integration tests for MRR and ColPali

Minor Fixes

• Consistent formatting in existing reranker docs (backticks around type annotations)

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