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fix(lattice): normalize Windows path separators in section/ref file IDs #67

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fix(lattice): normalize Windows path separators in section/ref file IDs #67

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87b4113
fix(lattice): normalize Windows path separators in section/ref file IDs
RicardoAGL May 13, 2026
7d8a0af
feat(search): add Ollama embedding provider
RicardoAGL May 13, 2026
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4 changes: 2 additions & 2 deletions src/lattice.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@ export function parseSections(
): Section[] {
const tree = parse(content);
const file = projectRoot
? relative(projectRoot, filePath).replace(/\.md$/, '')
? relative(projectRoot, filePath).replace(/\.md$/, '').replace(/\\/g, '/')
: basename(filePath, '.md');
const sectionFilePath = projectRoot
? relative(projectRoot, filePath)
Expand Down Expand Up @@ -619,7 +619,7 @@ export function extractRefs(
): Ref[] {
const tree = parse(content);
const file = projectRoot
? relative(projectRoot, filePath).replace(/\.md$/, '')
? relative(projectRoot, filePath).replace(/\.md$/, '').replace(/\\/g, '/')
: basename(filePath, '.md');
const refs: Ref[] = [];

Expand Down
33 changes: 32 additions & 1 deletion src/search/provider.ts
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Expand Up @@ -6,6 +6,18 @@ export type EmbeddingProvider = {
headers: (key: string) => Record<string, string>;
};

// Known dimensions for common Ollama embedding models.
// Override with LAT_OLLAMA_DIMENSIONS for unlisted models.
const OLLAMA_KNOWN_DIMENSIONS: Record<string, number> = {
'nomic-embed-text': 768,
'mxbai-embed-large': 1024,
'all-minilm': 384,
'snowflake-arctic-embed': 1024,
'bge-large': 1024,
'bge-base': 768,
'bge-small': 384,
};

const openai: EmbeddingProvider = {
name: 'openai',
apiBase: 'https://api.openai.com/v1',
Expand Down Expand Up @@ -39,6 +51,25 @@ export function detectProvider(key: string): EmbeddingProvider {
headers: () => ({ 'Content-Type': 'application/json' }),
};
}
if (key.startsWith('ollama:')) {
const model = key.slice('ollama:'.length).trim();
if (!model)
throw new Error(
'ollama: key must include a model name, e.g. LAT_LLM_KEY=ollama:nomic-embed-text',
);
const host = process.env.OLLAMA_HOST ?? 'http://localhost:11434';
const dimOverride = process.env.LAT_OLLAMA_DIMENSIONS;
const dimensions = dimOverride
? parseInt(dimOverride, 10)
: (OLLAMA_KNOWN_DIMENSIONS[model] ?? 768);
return {
name: 'ollama',
apiBase: `${host}/v1`,
model,
dimensions,
headers: () => ({ 'Content-Type': 'application/json' }),
};
}
if (key.startsWith('sk-ant-')) {
throw new Error(
"Anthropic doesn't offer an embedding model. Set LAT_LLM_KEY to an OpenAI (sk-...) or Vercel AI Gateway (vck_...) key.",
Expand All @@ -47,6 +78,6 @@ export function detectProvider(key: string): EmbeddingProvider {
if (key.startsWith('vck_')) return vercel;
if (key.startsWith('sk-')) return openai;
throw new Error(
`Unrecognized LAT_LLM_KEY prefix. Supported: OpenAI (sk-...), Vercel AI Gateway (vck_...).`,
`Unrecognized LAT_LLM_KEY prefix. Supported: OpenAI (sk-...), Vercel AI Gateway (vck_...), Ollama (ollama:<model>).`,
);
}