O que Build document search layers for AI apps with Morphik faz?
Ingest documents into Morphik, expose retrieval over AI-app knowledge, and tune document search quality before handing context to agents or RAG workflows.
Prerequisites
Morphik server or Morphik Python client, Python 3.10+, document corpus, configured model/retrieval providers as needed
Installation
Requirements and caveats from upstream:
- python scripts/migrate_auth_columns_complete.py --postgres-uri "postgresql+asyncpg://user:pass@host:port/db"
- Building AI applications that interact with data shouldn't require duct-taping together a dozen different tools just to get relevant results to your LLM.
- If you'd like to self-host Morphik, you can find the dedicated instruction here. We offer options for direct installation and installation via docker.
Basic usage or getting-started notes:
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Migration Required for Existing Installations: If you installed Morphik before June 22nd, 2025, we've optimized our authentication system for 70-80% faster query performance. Please run the migration script before...
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The fastest and easiest way to get started with Morphik is by signing up for free at Morphik. We have a generous free tier and transparent, compute-usage based pricing if you're lookin...
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Extracted from upstream docs: https://raw.githubusercontent.com/morphik-org/morphik-core/HEAD/README.md