Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat(llm): Ollama integration #6

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

feat(llm): Ollama integration #6

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions package.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@
"dependencies": {
"@langchain/community": "^0.3.1",
"@langchain/core": "^0.3.3",
"@langchain/ollama": "^0.1.0",
"@langchain/openai": "^0.3.0",
"@prisma/client": "5.20.0",
"@radix-ui/react-alert-dialog": "^1.1.1",
Expand Down
35 changes: 30 additions & 5 deletions pnpm-lock.yaml
View file
Open in desktop

Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.

23 changes: 11 additions & 12 deletions src/app/api/chat/route.ts
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,8 +1,9 @@
import {NextRequest, NextResponse} from "next/server";
import {Message as VercelChatMessage} from "ai";

import {ChatOpenAI, OpenAIEmbeddings} from "@langchain/openai";
import {SystemMessagePromptTemplate} from "@langchain/core/prompts";
// import {ChatOpenAI, OpenAIEmbeddings} from "@langchain/openai";
import {ChatOllama, OllamaEmbeddings} from "@langchain/ollama"
import {PromptTemplate} from "@langchain/core/prompts";
import {RunnablePassthrough, RunnableSequence} from "@langchain/core/runnables";
import {HttpResponseOutputParser} from "langchain/output_parsers";
import {PrismaVectorStore} from "@langchain/community/vectorstores/prisma";
Expand Down Expand Up @@ -38,15 +39,13 @@ export async function POST(req: NextRequest) {
throw new Error("Repository not found");
}

const llm = new ChatOpenAI({
model: "gpt-4o-mini",
temperature: 0,
apiKey
const llm = new ChatOllama({
model: "llama3.2:3b",
});

const embeddings = new OpenAIEmbeddings({
model: "text-embedding-3-small",
apiKey
const embeddings = new OllamaEmbeddings({
model: "llama3.2:3b", // Default value
baseUrl: "http://localhost:11434", // Default value
});

const vectorStore = PrismaVectorStore.withModel<Document>(db).create(
Expand All @@ -73,7 +72,7 @@ export async function POST(req: NextRequest) {
searchType: "similarity"
});

const systemPrompt = SystemMessagePromptTemplate.fromTemplate(`
const prompt = PromptTemplate.fromTemplate(`
You are a helpful assistant with good knowledge in coding. Use the provided context and previous conversation to answer user questions with detailed explanations.
Read the given context before answering questions and think step by step. If you cannot answer a user question based on the provided context, inform the user. Do not use any other information for answering.

Expand All @@ -83,7 +82,7 @@ export async function POST(req: NextRequest) {
{chat_history}

User: {question}
`);
`);

const chain = RunnableSequence.from([
RunnablePassthrough.assign({
Expand All @@ -99,7 +98,7 @@ export async function POST(req: NextRequest) {
return input.chat_history || [];
}
}),
systemPrompt,
prompt,
llm,
new HttpResponseOutputParser(),
]);
Expand Down
13 changes: 6 additions & 7 deletions src/services/indexer/index.ts
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@ import {
GithubRepoLoader
} from "@langchain/community/document_loaders/web/github";
import {RecursiveCharacterTextSplitter} from "langchain/text_splitter";
import {OpenAIEmbeddings} from "@langchain/openai";
import { OllamaEmbeddings } from "@langchain/ollama";
import {PrismaVectorStore} from "@langchain/community/vectorstores/prisma";
import {Prisma, RepositoryStatus, PrismaClient, Document} from "@prisma/client";
import {Document as LangchainDocument} from "langchain/document"; // Adjust the import path if necessary
Expand Down Expand Up @@ -167,8 +167,8 @@ export class Indexer {
*/
private async splitDocuments(docs: LangchainDocument[]): Promise<LangchainDocument[]> {
const splitter = new RecursiveCharacterTextSplitter({
chunkSize: 2000,
chunkOverlap: 200
chunkSize: 500,
chunkOverlap: 100
});

const chunks = await splitter.splitDocuments(docs);
Expand All @@ -185,10 +185,9 @@ export class Indexer {
private async storeChunks(chunks: LangchainDocument[], namespace: string, repoUrl: string) {
console.log(`[${new Date().toISOString()}] Storing ${chunks.length} chunks into the vector store`);

const openAiKey = await this.getOpenAiToken();
const embeddings = new OpenAIEmbeddings({
model: "text-embedding-3-small",
apiKey: openAiKey,
const embeddings = new OllamaEmbeddings({
model: "llama3.2:3b", // Default value
baseUrl: "http://localhost:11434", // Default value
});

const vectorStore = PrismaVectorStore.withModel<Document>(this.db).create(
Expand Down