diff --git a/README.md b/README.md
index 3deff9e..b1e7fdb 100644
--- a/README.md
+++ b/README.md
@@ -241,6 +241,7 @@ greplica transcript bundle --platform codex|claude|copilot|opencode --file <path
 - `greplica graph view` to visualize the current memory in a local HTML file, which opens in your default browser. Use `--out` to choose where the file is written; by default it goes to a temp path.
 - `greplica transcript bundle` - converts one or more Codex, Claude Code, GitHub Copilot CLI, or OpenCode transcripts into a sanitized Markdown bundle for `greplica-fast-session-bootstrap`.
 - `greplica embeddings prewarm` - downloads and initializes the local embedding model ahead of the first query when local embeddings are configured.
+- `--embedding openai` reads `OPENAI_API_KEY` from the shell, target-root `.env.local`, or target-root `.env`, and calls `https://api.openai.com/v1` by default. Set `OPENAI_BASE_URL` in any of those places to use a different OpenAI-compatible embeddings endpoint - Azure OpenAI, ollama, vLLM, LM Studio, or a gateway - including whatever path prefix that endpoint serves, for example `http://localhost:11434/v1`. Set `embedding.model` and `embedding.dimensions` to values that endpoint actually serves; the `text-embedding-3-small` / 1536 default is OpenAI-specific, and `greplica doctor --check-embeddings` reports the endpoint it will call.
 - `greplica session mark-memory-current` - marks a tracked agent session as already reflected in working memory.
 - `greplica doctor` - verifies installation and diagnoses configuration failures. Not a required preflight before every command.
 - `greplica install` prepares repo state, local storage, and agent integration; normal repo commands require install first. Local and managed mode are selected independently per repository.
diff --git a/apps/cli/main.ts b/apps/cli/main.ts
index 4869881..8ac06ee 100644
--- a/apps/cli/main.ts
+++ b/apps/cli/main.ts
@@ -21,6 +21,7 @@ import type {
   ManagedProposal,
 } from "../../libs/managed/protocol.js";
 import { createEmbedder } from "../../libs/knowledge-graph/graph-context/embedder.js";
+import { resolveOpenAIBaseUrl } from "../../libs/knowledge-graph/graph-context/openai-embedder.js";
 import { renderGraphContextMarkdown } from "../../libs/knowledge-graph/graph-context/render.js";
 import { buildGraphFolderExport } from "../../libs/knowledge-graph/folder-export.js";
 import { buildTranscriptBundle } from "../../libs/session-transcript/bundle.js";
@@ -890,6 +891,7 @@ async function runDoctor(args: string[], getContext: CommandContextProvider): Pr
     } else {
       console.log(`OPENAI_API_KEY: found in ${source.path}`);
     }
+    console.log(`Embeddings endpoint: ${resolveOpenAIBaseUrl()}/embeddings`);
   }
 
   if (installation.activeMode === "local" && (args.includes("--check-embeddings") || args.includes("--check-openai"))) {
diff --git a/libs/env/load-local-env.ts b/libs/env/load-local-env.ts
index dc957ac..93dab58 100644
--- a/libs/env/load-local-env.ts
+++ b/libs/env/load-local-env.ts
@@ -26,7 +26,7 @@ export type EnvVarSource =
 
 export function loadRepoEnv(repoRoot: string): LoadedRepoEnv {
   const initialEnvKeys = new Set(Object.keys(process.env).filter(hasEnvValue));
-  const repoEnvKeys = new Set(["OPENAI_API_KEY", "OPENAI_MODEL"]);
+  const repoEnvKeys = new Set(["OPENAI_API_KEY", "OPENAI_BASE_URL", "OPENAI_MODEL"]);
   const files = [".env.local", ".env"]
     .map((file) => loadEnvFile(resolve(repoRoot, file), repoEnvKeys))
     .filter((file): file is LoadedEnvFile => file !== undefined);
diff --git a/libs/knowledge-graph/graph-context/openai-embedder.ts b/libs/knowledge-graph/graph-context/openai-embedder.ts
index 11e3852..e4b9069 100644
--- a/libs/knowledge-graph/graph-context/openai-embedder.ts
+++ b/libs/knowledge-graph/graph-context/openai-embedder.ts
@@ -1,12 +1,25 @@
 import { HttpRequestError, withRetry } from "../../utils/retry.js";
 
+export const DEFAULT_OPENAI_BASE_URL = "https://api.openai.com/v1";
+
 export interface OpenAIEmbedderOptions {
   apiKey?: string;
+  baseUrl?: string;
   model: string;
   dimensions: number;
   batchSize: number;
 }
 
+/**
+ * Resolves the OpenAI-compatible API root used for embeddings.
+ * Falls back to OPENAI_BASE_URL, then to OpenAI itself, mirroring how the API key is resolved.
+ */
+export function resolveOpenAIBaseUrl(baseUrl?: string): string {
+  const configured = (baseUrl ?? process.env.OPENAI_BASE_URL)?.trim();
+  if (!configured) return DEFAULT_OPENAI_BASE_URL;
+  return configured.replace(/\/+$/, "");
+}
+
 interface OpenAIEmbeddingResponse {
   data?: Array<{ index: number; embedding: number[] }>;
   error?: { message?: string };
@@ -14,6 +27,7 @@ interface OpenAIEmbeddingResponse {
 
 export class OpenAIEmbedder {
   private readonly apiKey: string;
+  private readonly baseUrl: string;
 
   constructor(private readonly options: OpenAIEmbedderOptions) {
     if (typeof options.batchSize !== "number" || options.batchSize < 1) {
@@ -27,6 +41,7 @@ export class OpenAIEmbedder {
       throw new Error("OPENAI_API_KEY is required for graph context embeddings. Set it in the environment, target-root .env.local, or target-root .env.");
     }
     this.apiKey = apiKey;
+    this.baseUrl = resolveOpenAIBaseUrl(options.baseUrl);
   }
 
   async embed(text: string): Promise<number[]> {
@@ -48,7 +63,7 @@ export class OpenAIEmbedder {
 
     return withRetry(
       async () => {
-        const response = await fetch("https://api.openai.com/v1/embeddings", {
+        const response = await fetch(`${this.baseUrl}/embeddings`, {
           method: "POST",
           headers: {
             Authorization: `Bearer ${this.apiKey}`,
diff --git a/package.json b/package.json
index d6dd889..71d3cae 100644
--- a/package.json
+++ b/package.json
@@ -24,7 +24,7 @@
     "smoke:copilot": "npm run build && node scripts/smoke-copilot-install.mjs",
     "smoke:opencode": "npm run build && node scripts/smoke-opencode-install.mjs",
     "smoke:cursor": "npm run build && node scripts/smoke-cursor-install.mjs",
-    "test": "npm run build && node scripts/check-transcript-bundle.js && node scripts/check-repo-context.js && node scripts/check-install-options.js && node scripts/check-repo-installations.js && node scripts/check-managed-cli.js && node scripts/check-managed-collaboration.js && node scripts/check-reconciliation-code-evidence.js && node scripts/check-graph-view.js && node scripts/check-graph-view-offline-browser.js && node scripts/check-source-memberships.js && node scripts/check-proposal-validate.js && node scripts/check-bm25-tokenizer.js && node scripts/check-anchor-drift.js && node scripts/check-find-similar-claims.js && node scripts/check-apply-proposal-dedupe.js && node scripts/check-opencode-sqlite-transcript.js && node scripts/check-agent-runner-spawn-error.js",
+    "test": "npm run build && node scripts/check-transcript-bundle.js && node scripts/check-repo-context.js && node scripts/check-install-options.js && node scripts/check-repo-installations.js && node scripts/check-managed-cli.js && node scripts/check-managed-collaboration.js && node scripts/check-reconciliation-code-evidence.js && node scripts/check-graph-view.js && node scripts/check-graph-view-offline-browser.js && node scripts/check-source-memberships.js && node scripts/check-proposal-validate.js && node scripts/check-bm25-tokenizer.js && node scripts/check-anchor-drift.js && node scripts/check-find-similar-claims.js && node scripts/check-apply-proposal-dedupe.js && node scripts/check-opencode-sqlite-transcript.js && node scripts/check-agent-runner-spawn-error.js && node scripts/check-openai-embedder-base-url.js",
     "test:managed-collaboration": "npm run build && node scripts/check-managed-collaboration.js && node scripts/check-reconciliation-code-evidence.js",
     "test:reconciliation-code-evidence": "npm run build && node scripts/check-reconciliation-code-evidence.js",
     "test:repo-installations": "npm run build && node scripts/check-repo-installations.js",
diff --git a/scripts/check-openai-embedder-base-url.js b/scripts/check-openai-embedder-base-url.js
new file mode 100644
index 0000000..fe95e42
--- /dev/null
+++ b/scripts/check-openai-embedder-base-url.js
@@ -0,0 +1,59 @@
+import assert from "node:assert/strict";
+import { createServer } from "node:http";
+import { once } from "node:events";
+
+const root = new URL("..", import.meta.url);
+const { OpenAIEmbedder, DEFAULT_OPENAI_BASE_URL, resolveOpenAIBaseUrl } = await import(
+  new URL("dist/libs/knowledge-graph/graph-context/openai-embedder.js", root)
+);
+
+delete process.env.OPENAI_BASE_URL;
+assert.equal(resolveOpenAIBaseUrl(), DEFAULT_OPENAI_BASE_URL, "unset OPENAI_BASE_URL should keep the OpenAI default");
+assert.equal(resolveOpenAIBaseUrl("https://example.test/v1/"), "https://example.test/v1", "trailing slashes should be trimmed");
+
+process.env.OPENAI_BASE_URL = "https://env.example.test/v1";
+assert.equal(resolveOpenAIBaseUrl(), "https://env.example.test/v1", "OPENAI_BASE_URL should override the default");
+assert.equal(
+  resolveOpenAIBaseUrl("https://option.example.test/v1"),
+  "https://option.example.test/v1",
+  "an explicit baseUrl option should win over the environment"
+);
+
+const requests = [];
+const server = createServer((req, res) => {
+  const chunks = [];
+  req.on("data", (chunk) => chunks.push(chunk));
+  req.on("end", () => {
+    const body = JSON.parse(Buffer.concat(chunks).toString("utf8"));
+    requests.push({ url: req.url, authorization: req.headers.authorization, body });
+    res.writeHead(200, { "Content-Type": "application/json" });
+    res.end(JSON.stringify({ data: body.input.map((_, index) => ({ index, embedding: [index, 1, 2, 3] })) }));
+  });
+});
+server.listen(0, "127.0.0.1");
+await once(server, "listening");
+
+process.env.OPENAI_API_KEY = "test-key";
+process.env.OPENAI_BASE_URL = `http://127.0.0.1:${server.address().port}/v1/`;
+
+try {
+  const embedder = new OpenAIEmbedder({ model: "test-embedding", dimensions: 4, batchSize: 2 });
+  const embeddings = await embedder.embedBatch(["alpha", "beta", "gamma"]);
+
+  assert.equal(requests.length, 2, "batchSize 2 should split three inputs across two requests");
+  assert.deepEqual(
+    requests.map((request) => request.url),
+    ["/v1/embeddings", "/v1/embeddings"],
+    "requests should go to <OPENAI_BASE_URL>/embeddings"
+  );
+  assert.equal(requests[0].authorization, "Bearer test-key", "the API key should still be sent as a bearer token");
+  assert.deepEqual(requests[0].body.input, ["alpha", "beta"], "the first request should carry the first batch");
+  assert.equal(requests[0].body.model, "test-embedding", "the configured model should be forwarded");
+  assert.equal(embeddings.length, 3, "every input should produce an embedding");
+  assert.deepEqual(embeddings[0], [0, 1, 2, 3], "embeddings should be returned in input order");
+} finally {
+  server.close();
+  await once(server, "close");
+}
+
+console.log("OpenAI embedder base URL checks passed.");