Search the local Lemma (getlemma.com) documentation corpus and return focused, ranked source excerpts for a question or task. Lemma is healthcare-practice banking: entity accounts, deposit bonuses, fixed fee loans, cash sweeps, MSO-PC compliant banking guardrails, and shared onboarding. Routes the query into one of three internal namespaces (getting-started: quickstart/onboarding/KYB; guides: deposit bonuses, fixed fee loans, MSO-PC compliance, collaboration, owning multiple entities; product-updates: changelog and roadmap) and returns compact chunks with source paths. This is a local documentation index only — it NEVER calls live Lemma or banking APIs, and it cannot move money or mutate any account state.

Coverage note: the corpus is the 8 pages Lemma exposes as markdown. Banking-operations pages (accounts, cards, transactions, move money), insurance/lockbox, invoicing, team-management, and the API reference are NOT in this index — say so instead of guessing when a query needs them.

Args:

• query (string, required): The documentation question or task, 2-500 chars.

• namespace ('auto' | 'getting-started' | 'guides' | 'product-updates', default 'auto'): Corpus area. Use 'auto' unless you already know the area.

• intent ('answer' | 'build_context' | 'source_map', default 'answer'): How the returned context will be used; adjusts guidance.

• max_chunks (int 1-12, default 6): Page size.

• offset (int >= 0, default 0): Ranked matches to skip, for paging.

• response_format ('markdown' | 'json', default 'markdown'): Text rendering; structured content is always attached.

Returns (structured): { query, namespace, intent, guidance, chunks: [{ id, score, namespace, source_type, path, heading, excerpt, metadata }], pagination: { total_matches, count, offset, has_more, next_offset? }, follow_ups: [string], truncated?, truncation_message?, stats: { indexed_chunks, returned_chunks } }

Chunk excerpts are capped; pass a chunk's id (or its path) to lemma_docs_get for the full text.

Examples:

• "How does the deposit bonus accrue and when is it paid?" -> guides (deposit-bonuses).

• "Open an account for a new PLLC" -> getting-started (quickstart, KYB, beneficial owners).

• "Does Lemma support Zelle?" -> product-updates (roadmap workaround section).

• "What guardrails does Lemma set up for an MSO-PC structure?" -> guides (mso-pc-compliance).

• Follow-up paging: repeat the same query with offset=pagination.next_offset.

Errors:

• "Lemma docs corpus root not found ..." -> set LEMMA_DOCS_CORPUS_ROOT to the absolute path of the lemma-docs-*.md folder and restart.

• Empty chunks with guidance "No strong ... matches" -> retry with a more specific Lemma term (entity, deposit bonus, fixed fee loan, cash sweep, MSO-PC), or the topic may be outside the 8-page corpus.

Fetch the full text of specific indexed Lemma documentation chunks by id, or every chunk of one document by its relative path. Use this after lemma_docs_context to expand excerpts you actually need — do not use it to browse (use lemma_docs_context for discovery). Reads the local corpus index only; it NEVER calls live Lemma or banking APIs.

Args:

• ids (string[], 1-8, optional): Chunk ids exactly as returned by lemma_docs_context.

• path (string, optional): A relative corpus path exactly as returned in a result's 'path' field; returns all chunks of that document in order.

• response_format ('markdown' | 'json', default 'markdown'): Text rendering; structured content is always attached. At least one of ids or path is required.

Returns (structured): { found: [{ id, namespace, source_type, path, heading, text, metadata }], missing: [string], truncated?, truncation_message? }

Examples:

• ids=["lemma-docs-docs-guides-deposit-bonuses.md#md-1-0"] -> full text of that section.

• path="lemma-docs-docs-guides-mso-pc-compliance.md" -> every chunk of that document (may truncate; follow the truncation message).

Errors:

• Calling with neither ids nor path returns an error explaining both options.

• Unknown ids/paths are reported in 'missing' rather than failing the whole call.