diff --git a/frontend/src/components/Sidebar/index.jsx b/frontend/src/components/Sidebar/index.jsx
index f0c27f09dd566e206530840705c9b3a1c84e0957..95f232d7a69806e7d0e2f8d1052f2a665097aeab 100644
--- a/frontend/src/components/Sidebar/index.jsx
+++ b/frontend/src/components/Sidebar/index.jsx
@@ -278,7 +278,7 @@ function SettingsButton() {
return (
<a
href={
- !!user?.role ? paths.settings.system() : paths.settings.appearance()
+ !!user?.role ? paths.settings.system() : paths.settings.appearance()
}
className="transition-all duration-300 p-2 rounded-full text-white bg-sidebar-button hover:bg-menu-item-selected-gradient hover:border-slate-100 hover:border-opacity-50 border-transparent border"
>
diff --git a/frontend/src/pages/GeneralSettings/EmbeddingPreference/index.jsx b/frontend/src/pages/GeneralSettings/EmbeddingPreference/index.jsx
index f35c167b5ccfba82f5b13a7dceb967ae63f12726..cc272edb3ac95cc231d4f72aa3fbf02dffa18523 100644
--- a/frontend/src/pages/GeneralSettings/EmbeddingPreference/index.jsx
+++ b/frontend/src/pages/GeneralSettings/EmbeddingPreference/index.jsx
@@ -133,161 +133,161 @@ export default function GeneralEmbeddingPreference() {
</p>
</div>
- {["openai", "azure"].includes(settings.LLMProvider) ? (
- <div className="w-full h-20 items-center justify-center flex">
- <p className="text-gray-800 dark:text-slate-400 text-center">
- Your current LLM preference does not require you to set up
- this part of AnythingLLM.
- <br />
- Embedding is being automatically managed by AnythingLLM.
- </p>
+ <>
+ <div className="text-white text-sm font-medium py-4">
+ Embedding Providers
+ </div>
+ <div className="w-full flex md:flex-wrap overflow-x-scroll gap-4 max-w-[900px]">
+ <input
+ hidden={true}
+ name="EmbeddingEngine"
+ value={embeddingChoice}
+ />
+ <LLMProviderOption
+ name="OpenAI"
+ value="openai"
+ link="openai.com"
+ description="Use OpenAI's text-embedding-ada-002 embedding model."
+ checked={embeddingChoice === "openai"}
+ image={OpenAiLogo}
+ onClick={updateChoice}
+ />
+ <LLMProviderOption
+ name="Azure OpenAI"
+ value="azure"
+ link="azure.microsoft.com"
+ description="The enterprise option of OpenAI hosted on Azure services."
+ checked={embeddingChoice === "azure"}
+ image={AzureOpenAiLogo}
+ onClick={updateChoice}
+ />
+ <LLMProviderOption
+ name="LocalAI"
+ value="localai"
+ link="localai.io"
+ description="Self hosted LocalAI embedding engine."
+ checked={embeddingChoice === "localai"}
+ image={LocalAiLogo}
+ onClick={updateChoice}
+ />
</div>
- ) : (
- <>
- <div className="text-white text-sm font-medium py-4">
- Embedding Providers
- </div>
- <div className="w-full flex md:flex-wrap overflow-x-scroll gap-4 max-w-[900px]">
- <input
- hidden={true}
- name="EmbeddingEngine"
- value={embeddingChoice}
- />
- <LLMProviderOption
- name="OpenAI"
- value="openai"
- link="openai.com"
- description="Use OpenAI's text-embedding-ada-002 embedding model."
- checked={embeddingChoice === "openai"}
- image={OpenAiLogo}
- onClick={updateChoice}
- />
- <LLMProviderOption
- name="Azure OpenAI"
- value="azure"
- link="azure.microsoft.com"
- description="The enterprise option of OpenAI hosted on Azure services."
- checked={embeddingChoice === "azure"}
- image={AzureOpenAiLogo}
- onClick={updateChoice}
- />
- <LLMProviderOption
- name="LocalAI"
- value="localai"
- link="localai.io"
- description="Self hosted LocalAI embedding engine."
- checked={embeddingChoice === "localai"}
- image={LocalAiLogo}
- onClick={updateChoice}
- />
- </div>
- <div className="mt-10 flex flex-wrap gap-4 max-w-[800px]">
- {embeddingChoice === "openai" && (
- <>
- <div className="flex flex-col w-60">
- <label className="text-white text-sm font-semibold block mb-4">
- API Key
- </label>
- <input
- type="text"
- name="OpenAiKey"
- className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
- placeholder="OpenAI API Key"
- defaultValue={
- settings?.OpenAiKey ? "*".repeat(20) : ""
- }
- required={true}
- autoComplete="off"
- spellCheck={false}
- />
- </div>
- </>
- )}
+ <div className="mt-10 flex flex-wrap gap-4 max-w-[800px]">
+ {embeddingChoice === "openai" && (
+ <>
+ <div className="flex flex-col w-60">
+ <label className="text-white text-sm font-semibold block mb-4">
+ API Key
+ </label>
+ <input
+ type="text"
+ name="OpenAiKey"
+ className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+ placeholder="OpenAI API Key"
+ defaultValue={
+ settings?.OpenAiKey ? "*".repeat(20) : ""
+ }
+ required={true}
+ autoComplete="off"
+ spellCheck={false}
+ />
+ </div>
+ <div className="flex flex-col w-60">
+ <label className="text-white text-sm font-semibold block mb-4">
+ Model Preference
+ </label>
+ <select
+ disabled={true}
+ className="cursor-not-allowed bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+ >
+ <option disabled={true} selected={true}>
+ text-embedding-ada-002
+ </option>
+ </select>
+ </div>
+ </>
+ )}
- {embeddingChoice === "azure" && (
- <>
- <div className="flex flex-col w-60">
- <label className="text-white text-sm font-semibold block mb-4">
- Azure Service Endpoint
- </label>
- <input
- type="url"
- name="AzureOpenAiEndpoint"
- className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
- placeholder="https://my-azure.openai.azure.com"
- defaultValue={settings?.AzureOpenAiEndpoint}
- required={true}
- autoComplete="off"
- spellCheck={false}
- />
- </div>
+ {embeddingChoice === "azure" && (
+ <>
+ <div className="flex flex-col w-60">
+ <label className="text-white text-sm font-semibold block mb-4">
+ Azure Service Endpoint
+ </label>
+ <input
+ type="url"
+ name="AzureOpenAiEndpoint"
+ className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+ placeholder="https://my-azure.openai.azure.com"
+ defaultValue={settings?.AzureOpenAiEndpoint}
+ required={true}
+ autoComplete="off"
+ spellCheck={false}
+ />
+ </div>
- <div className="flex flex-col w-60">
- <label className="text-white text-sm font-semibold block mb-4">
- API Key
- </label>
- <input
- type="password"
- name="AzureOpenAiKey"
- className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
- placeholder="Azure OpenAI API Key"
- defaultValue={
- settings?.AzureOpenAiKey ? "*".repeat(20) : ""
- }
- required={true}
- autoComplete="off"
- spellCheck={false}
- />
- </div>
+ <div className="flex flex-col w-60">
+ <label className="text-white text-sm font-semibold block mb-4">
+ API Key
+ </label>
+ <input
+ type="password"
+ name="AzureOpenAiKey"
+ className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+ placeholder="Azure OpenAI API Key"
+ defaultValue={
+ settings?.AzureOpenAiKey ? "*".repeat(20) : ""
+ }
+ required={true}
+ autoComplete="off"
+ spellCheck={false}
+ />
+ </div>
- <div className="flex flex-col w-60">
- <label className="text-white text-sm font-semibold block mb-4">
- Embedding Deployment Name
- </label>
- <input
- type="text"
- name="AzureOpenAiEmbeddingModelPref"
- className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
- placeholder="Azure OpenAI embedding model deployment name"
- defaultValue={
- settings?.AzureOpenAiEmbeddingModelPref
- }
- required={true}
- autoComplete="off"
- spellCheck={false}
- />
- </div>
- </>
- )}
+ <div className="flex flex-col w-60">
+ <label className="text-white text-sm font-semibold block mb-4">
+ Embedding Deployment Name
+ </label>
+ <input
+ type="text"
+ name="AzureOpenAiEmbeddingModelPref"
+ className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+ placeholder="Azure OpenAI embedding model deployment name"
+ defaultValue={settings?.AzureOpenAiEmbeddingModelPref}
+ required={true}
+ autoComplete="off"
+ spellCheck={false}
+ />
+ </div>
+ </>
+ )}
- {embeddingChoice === "localai" && (
- <>
- <div className="flex flex-col w-60">
- <label className="text-white text-sm font-semibold block mb-4">
- LocalAI Base URL
- </label>
- <input
- type="url"
- name="EmbeddingBasePath"
- className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
- placeholder="http://localhost:8080/v1"
- defaultValue={settings?.EmbeddingBasePath}
- onChange={(e) => setBasePathValue(e.target.value)}
- onBlur={updateBasePath}
- required={true}
- autoComplete="off"
- spellCheck={false}
- />
- </div>
- <LocalAIModelSelection
- settings={settings}
- basePath={basePath}
+ {embeddingChoice === "localai" && (
+ <>
+ <div className="flex flex-col w-60">
+ <label className="text-white text-sm font-semibold block mb-4">
+ LocalAI Base URL
+ </label>
+ <input
+ type="url"
+ name="EmbeddingBasePath"
+ className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+ placeholder="http://localhost:8080/v1"
+ defaultValue={settings?.EmbeddingBasePath}
+ onChange={(e) => setBasePathValue(e.target.value)}
+ onBlur={updateBasePath}
+ required={true}
+ autoComplete="off"
+ spellCheck={false}
/>
- </>
- )}
- </div>
- </>
- )}
+ </div>
+ <LocalAIModelSelection
+ settings={settings}
+ basePath={basePath}
+ />
+ </>
+ )}
+ </div>
+ </>
</div>
</form>
</div>
diff --git a/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/DataHandling/index.jsx b/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/DataHandling/index.jsx
index 2f133ff5b7e85a353d0a1bd434f9cf163e387e24..b81a6795e07940c275f829a96bd7ee49b3f32466 100644
--- a/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/DataHandling/index.jsx
+++ b/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/DataHandling/index.jsx
@@ -97,16 +97,44 @@ const VECTOR_DB_PRIVACY = {
},
};
+const EMBEDDING_ENGINE_PRIVACY = {
+ openai: {
+ name: "OpenAI",
+ description: [
+ "Your documents are visible to OpenAI",
+ "Your documents are not used for training",
+ ],
+ logo: OpenAiLogo,
+ },
+ azure: {
+ name: "Azure OpenAI",
+ description: [
+ "Your documents are not visible to OpenAI or Microsoft",
+ "Your documents not used for training",
+ ],
+ logo: AzureOpenAiLogo,
+ },
+ localai: {
+ name: "LocalAI",
+ description: [
+ "Your documents are only accessible on the server running LocalAI",
+ ],
+ logo: LocalAiLogo,
+ },
+};
+
function DataHandling({ nextStep, prevStep, currentStep }) {
const [llmChoice, setLLMChoice] = useState("openai");
const [loading, setLoading] = useState(true);
const [vectorDb, setVectorDb] = useState("pinecone");
+ const [embeddingEngine, setEmbeddingEngine] = useState("openai");
useEffect(() => {
async function fetchKeys() {
const _settings = await System.keys();
setLLMChoice(_settings?.LLMProvider);
setVectorDb(_settings?.VectorDB);
+ setEmbeddingEngine(_settings?.EmbeddingEngine);
setLoading(false);
}
@@ -124,8 +152,8 @@ function DataHandling({ nextStep, prevStep, currentStep }) {
return (
<div className="max-w-[750px]">
- <div className="p-8 flex gap-x-16">
- <div className="w-1/2 flex flex-col gap-y-3.5">
+ <div className="p-8 flex flex-col gap-8">
+ <div className="flex flex-col gap-y-3.5 border-b border-zinc-500/50 pb-8">
<div className="text-white text-base font-bold">LLM Selection</div>
<div className="flex items-center gap-2.5">
<img
@@ -146,7 +174,28 @@ function DataHandling({ nextStep, prevStep, currentStep }) {
</div>
</div>
- <div className="w-1/2 flex flex-col gap-y-3.5">
+ <div className="flex flex-col gap-y-3.5 border-b border-zinc-500/50 pb-8">
+ <div className="text-white text-base font-bold">Embedding Engine</div>
+ <div className="flex items-center gap-2.5">
+ <img
+ src={EMBEDDING_ENGINE_PRIVACY[embeddingEngine].logo}
+ alt="Vector DB Logo"
+ className="w-8 h-8 rounded"
+ />
+ <p className="text-white text-sm font-bold">
+ {EMBEDDING_ENGINE_PRIVACY[embeddingEngine].name}
+ </p>
+ </div>
+ <ul className="flex flex-col list-disc">
+ {EMBEDDING_ENGINE_PRIVACY[embeddingEngine].description.map(
+ (desc) => (
+ <li className="text-white/90 text-sm">{desc}</li>
+ )
+ )}
+ </ul>
+ </div>
+
+ <div className="flex flex-col gap-y-3.5 ">
<div className="text-white text-base font-bold">Vector Database</div>
<div className="flex items-center gap-2.5">
<img
diff --git a/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/EmbeddingSelection/index.jsx b/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/EmbeddingSelection/index.jsx
index 109e4115f0c58102ac9df473c0eaad121bfa0c0b..da90cc4f2f1cc6b78bd4623d1a9ba402ca0153c1 100644
--- a/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/EmbeddingSelection/index.jsx
+++ b/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/EmbeddingSelection/index.jsx
@@ -113,6 +113,19 @@ function EmbeddingSelection({ nextStep, prevStep, currentStep }) {
spellCheck={false}
/>
</div>
+ <div className="flex flex-col w-60">
+ <label className="text-white text-sm font-semibold block mb-4">
+ Model Preference
+ </label>
+ <select
+ disabled={true}
+ className="cursor-not-allowed bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+ >
+ <option disabled={true} selected={true}>
+ text-embedding-ada-002
+ </option>
+ </select>
+ </div>
</>
)}
diff --git a/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/LLMSelection/index.jsx b/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/LLMSelection/index.jsx
index e3582309021bacc6919489ed478339078abf5b0a..73e68c05cbb1d25975bda96f53f5b1f4bd303389 100644
--- a/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/LLMSelection/index.jsx
+++ b/frontend/src/pages/OnboardingFlow/OnboardingModal/Steps/LLMSelection/index.jsx
@@ -46,15 +46,7 @@ function LLMSelection({ nextStep, prevStep, currentStep }) {
alert(`Failed to save LLM settings: ${error}`, "error");
return;
}
-
- switch (data.LLMProvider) {
- case "anthropic":
- case "lmstudio":
- case "localai":
- return nextStep("embedding_preferences");
- default:
- return nextStep("vector_database");
- }
+ nextStep("embedding_preferences");
};
if (loading)
diff --git a/frontend/src/pages/OnboardingFlow/OnboardingModal/index.jsx b/frontend/src/pages/OnboardingFlow/OnboardingModal/index.jsx
index c4dceed874e340410402458479802a8b2e79d83f..d00b7e95664d56eadea1d99a3a0cb5b03a3a6771 100644
--- a/frontend/src/pages/OnboardingFlow/OnboardingModal/index.jsx
+++ b/frontend/src/pages/OnboardingFlow/OnboardingModal/index.jsx
@@ -65,8 +65,7 @@ const STEPS = {
},
embedding_preferences: {
title: "Embedding Preference",
- description:
- "Due to your LLM selection you need to set up a provider for embedding files and text.",
+ description: "Choose a provider for embedding files and text.",
component: EmbeddingSelection,
},
};
diff --git a/server/utils/AiProviders/azureOpenAi/index.js b/server/utils/AiProviders/azureOpenAi/index.js
index a424902b1667c9b0eef4f869603aebdee6621173..82e28204bca631e36bcb8499d8906d0bb96d2515 100644
--- a/server/utils/AiProviders/azureOpenAi/index.js
+++ b/server/utils/AiProviders/azureOpenAi/index.js
@@ -1,9 +1,8 @@
const { AzureOpenAiEmbedder } = require("../../EmbeddingEngines/azureOpenAi");
const { chatPrompt } = require("../../chats");
-class AzureOpenAiLLM extends AzureOpenAiEmbedder {
- constructor() {
- super();
+class AzureOpenAiLLM {
+ constructor(embedder = null) {
const { OpenAIClient, AzureKeyCredential } = require("@azure/openai");
if (!process.env.AZURE_OPENAI_ENDPOINT)
throw new Error("No Azure API endpoint was set.");
@@ -20,6 +19,12 @@ class AzureOpenAiLLM extends AzureOpenAiEmbedder {
system: this.promptWindowLimit() * 0.15,
user: this.promptWindowLimit() * 0.7,
};
+
+ if (!embedder)
+ console.warn(
+ "No embedding provider defined for AzureOpenAiLLM - falling back to AzureOpenAiEmbedder for embedding!"
+ );
+ this.embedder = !embedder ? new AzureOpenAiEmbedder() : embedder;
}
streamingEnabled() {
@@ -114,6 +119,14 @@ Context:
return data.choices[0].message.content;
}
+ // Simple wrapper for dynamic embedder & normalize interface for all LLM implementations
+ async embedTextInput(textInput) {
+ return await this.embedder.embedTextInput(textInput);
+ }
+ async embedChunks(textChunks = []) {
+ return await this.embedder.embedChunks(textChunks);
+ }
+
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
diff --git a/server/utils/AiProviders/openAi/index.js b/server/utils/AiProviders/openAi/index.js
index 0c5b7116dd2b9e367deed2fa5fed878f04fdf689..46464271968244e378b28b1b1d7cf3045eb8cc21 100644
--- a/server/utils/AiProviders/openAi/index.js
+++ b/server/utils/AiProviders/openAi/index.js
@@ -1,9 +1,8 @@
const { OpenAiEmbedder } = require("../../EmbeddingEngines/openAi");
const { chatPrompt } = require("../../chats");
-class OpenAiLLM extends OpenAiEmbedder {
- constructor() {
- super();
+class OpenAiLLM {
+ constructor(embedder = null) {
const { Configuration, OpenAIApi } = require("openai");
if (!process.env.OPEN_AI_KEY) throw new Error("No OpenAI API key was set.");
@@ -17,6 +16,12 @@ class OpenAiLLM extends OpenAiEmbedder {
system: this.promptWindowLimit() * 0.15,
user: this.promptWindowLimit() * 0.7,
};
+
+ if (!embedder)
+ console.warn(
+ "No embedding provider defined for OpenAiLLM - falling back to OpenAiEmbedder for embedding!"
+ );
+ this.embedder = !embedder ? new OpenAiEmbedder() : embedder;
}
streamingEnabled() {
@@ -203,6 +208,14 @@ Context:
return streamRequest;
}
+ // Simple wrapper for dynamic embedder & normalize interface for all LLM implementations
+ async embedTextInput(textInput) {
+ return await this.embedder.embedTextInput(textInput);
+ }
+ async embedChunks(textChunks = []) {
+ return await this.embedder.embedChunks(textChunks);
+ }
+
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
diff --git a/server/utils/helpers/index.js b/server/utils/helpers/index.js
index c7c61822141e0eda615e860d2b35eba129c5b9b1..74804b904239cf8bd72271e9472f536f5351e578 100644
--- a/server/utils/helpers/index.js
+++ b/server/utils/helpers/index.js
@@ -23,25 +23,22 @@ function getVectorDbClass() {
function getLLMProvider() {
const vectorSelection = process.env.LLM_PROVIDER || "openai";
- let embedder = null;
+ const embedder = getEmbeddingEngineSelection();
switch (vectorSelection) {
case "openai":
const { OpenAiLLM } = require("../AiProviders/openAi");
- return new OpenAiLLM();
+ return new OpenAiLLM(embedder);
case "azure":
const { AzureOpenAiLLM } = require("../AiProviders/azureOpenAi");
- return new AzureOpenAiLLM();
+ return new AzureOpenAiLLM(embedder);
case "anthropic":
const { AnthropicLLM } = require("../AiProviders/anthropic");
- embedder = getEmbeddingEngineSelection();
return new AnthropicLLM(embedder);
case "lmstudio":
const { LMStudioLLM } = require("../AiProviders/lmStudio");
- embedder = getEmbeddingEngineSelection();
return new LMStudioLLM(embedder);
case "localai":
const { LocalAiLLM } = require("../AiProviders/localAi");
- embedder = getEmbeddingEngineSelection();
return new LocalAiLLM(embedder);
default:
throw new Error("ENV: No LLM_PROVIDER value found in environment!");