diff --git a/backend/backend/app/api/routers/chat.py b/backend/backend/app/api/routers/chat.py index a7b3ba4..ac181df 100644 --- a/backend/backend/app/api/routers/chat.py +++ b/backend/backend/app/api/routers/chat.py @@ -4,10 +4,10 @@ from fastapi import APIRouter, Depends, HTTPException, Request, status from fastapi.responses import StreamingResponse from fastapi.websockets import WebSocketDisconnect -from llama_index.llms.base import ChatMessage -from llama_index.llms.types import MessageRole -from llama_index.memory import ChatMemoryBuffer -from llama_index.prompts import PromptTemplate +from llama_index.core.llms import ChatMessage +from llama_index.core.llms import MessageRole +from llama_index.core.memory import ChatMemoryBuffer +from llama_index.core import PromptTemplate from pydantic import BaseModel from backend.app.utils import auth diff --git a/backend/backend/app/api/routers/query.py b/backend/backend/app/api/routers/query.py index 1f8b318..382c8cd 100644 --- a/backend/backend/app/api/routers/query.py +++ b/backend/backend/app/api/routers/query.py @@ -4,7 +4,7 @@ from fastapi import APIRouter, Depends, HTTPException, Request, status from fastapi.responses import StreamingResponse from fastapi.websockets import WebSocketDisconnect -from llama_index.llms.types import MessageRole +from llama_index.core.llms import MessageRole from pydantic import BaseModel from backend.app.utils import auth diff --git a/backend/backend/app/api/routers/search.py b/backend/backend/app/api/routers/search.py index 6e63e6a..f0ee8be 100644 --- a/backend/backend/app/api/routers/search.py +++ b/backend/backend/app/api/routers/search.py @@ -2,8 +2,8 @@ import re from fastapi import APIRouter, Depends, HTTPException, status -from llama_index.postprocessor import SimilarityPostprocessor -from llama_index.retrievers import VectorIndexRetriever +from llama_index.core.postprocessor import SimilarityPostprocessor +from llama_index.core.retrievers import VectorIndexRetriever from backend.app.utils import auth from backend.app.utils.index import get_index diff --git a/backend/backend/app/utils/contants.py b/backend/backend/app/utils/contants.py index e7eff58..727bad1 100644 --- a/backend/backend/app/utils/contants.py +++ b/backend/backend/app/utils/contants.py @@ -29,7 +29,7 @@ MODEL_KWARGS = {"n_gpu_layers": 100} if DEVICE_TYPE == "cuda" else {} # Service Context Constants -CHUNK_SIZE = 1000 +CHUNK_SIZE = 1024 CHUNK_OVERLAP = 100 # Embedding Model Constants @@ -37,12 +37,12 @@ EMBED_POOLING = "mean" EMBED_MODEL_DIMENSIONS = 384 # MiniLM-L6-v2 uses 384 dimensions DEF_EMBED_MODEL_DIMENSIONS = ( - 1536 # Default embedding model dimensions used by OpenAI text-embedding-ada-002 + 1536 # Default embedding model dimensions used by OpenAI text-embedding-3-small ) EMBED_BATCH_SIZE = 64 # batch size for openai embeddings # Chat Memory Buffer Constants -MEMORY_TOKEN_LIMIT = 1500 if USE_LOCAL_LLM else 6144 +MEMORY_TOKEN_LIMIT = 3072 if USE_LOCAL_LLM else 6144 # Prompt Helper Constants # set maximum input size diff --git a/backend/backend/app/utils/index.py b/backend/backend/app/utils/index.py index 3bc8fba..f7f5a3d 100644 --- a/backend/backend/app/utils/index.py +++ b/backend/backend/app/utils/index.py @@ -2,23 +2,23 @@ import os from dotenv import load_dotenv -from llama_index import ( +from llama_index.core import ( PromptHelper, ServiceContext, - # Document, SimpleDirectoryReader, StorageContext, VectorStoreIndex, load_index_from_storage, set_global_service_context, ) -from llama_index.embeddings import HuggingFaceEmbedding -from llama_index.embeddings.openai import OpenAIEmbedding -from llama_index.llms import LlamaCPP, OpenAI -from llama_index.llms.llama_utils import ( +from llama_index.embeddings.openai import OpenAIEmbedding, OpenAIEmbeddingModelType +from llama_index.legacy.embeddings.huggingface import HuggingFaceEmbedding +from llama_index.legacy.llms.llama_utils import ( completion_to_prompt, messages_to_prompt, ) +from llama_index.llms.llama_cpp import LlamaCPP +from llama_index.llms.openai import OpenAI from llama_index.vector_stores.supabase import SupabaseVectorStore from vecs import IndexMeasure @@ -45,7 +45,6 @@ USE_LOCAL_VECTOR_STORE, ) -# from llama_index.vector_stores.supabase import SupabaseVectorStore # import textwrap load_dotenv() @@ -98,7 +97,11 @@ api_key=os.getenv("OPENAI_API_KEY"), ) # By default, LlamaIndex uses text-embedding-ada-002 from OpenAI - embed_model = OpenAIEmbedding(embed_batch_size=EMBED_BATCH_SIZE) + # Set the model to text-embed-3-small for better performance and cheaper cost + embed_model = OpenAIEmbedding( + model=OpenAIEmbeddingModelType.TEXT_EMBED_3_SMALL, + embed_batch_size=EMBED_BATCH_SIZE, + ) prompt_helper = PromptHelper( chunk_size_limit=CHUNK_SIZE_LIMIT, @@ -149,11 +152,11 @@ def create_index(): show_progress=True, ) # store it for later - index.storage_context.persist(STORAGE_DIR) - logger.info(f"Finished creating new index. Stored in {STORAGE_DIR}") + index.storage_context.persist(new_storage_dir) + logger.info(f"Finished creating new index. Stored in {new_storage_dir}") else: # do nothing - logger.info(f"Index already exist at {STORAGE_DIR}...") + logger.info(f"Index already exist at {new_storage_dir}...") # else, create & store the index in Supabase pgvector else: # get the folders in the data directory diff --git a/backend/backend/app/utils/prompt_template.py b/backend/backend/app/utils/prompt_template.py index ebc0026..e96b4f3 100644 --- a/backend/backend/app/utils/prompt_template.py +++ b/backend/backend/app/utils/prompt_template.py @@ -4,7 +4,7 @@ This seems to have significant impact on the output of the LLM. """ -from llama_index.prompts import PromptTemplate +from llama_index.core import PromptTemplate # this is specific to Llama-2. diff --git a/backend/poetry.lock b/backend/poetry.lock index 8408bc5..80a3690 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -111,24 +111,24 @@ frozenlist = ">=1.1.0" [[package]] name = "annotated-types" -version = "0.6.0" +version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" files = [ - {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, - {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = 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datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" files = [ - {file = "huggingface_hub-0.23.0-py3-none-any.whl", hash = "sha256:075c30d48ee7db2bba779190dc526d2c11d422aed6f9044c5e2fdc2c432fdb91"}, - {file = "huggingface_hub-0.23.0.tar.gz", hash = "sha256:7126dedd10a4c6fac796ced4d87a8cf004efc722a5125c2c09299017fa366fa9"}, + {file = "huggingface_hub-0.23.4-py3-none-any.whl", hash = "sha256:3a0b957aa87150addf0cc7bd71b4d954b78e749850e1e7fb29ebbd2db64ca037"}, + {file = "huggingface_hub-0.23.4.tar.gz", hash = "sha256:35d99016433900e44ae7efe1c209164a5a81dbbcd53a52f99c281dcd7ce22431"}, ] [package.dependencies] @@ -905,6 +954,17 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gr torch = ["safetensors", "torch"] typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] +[[package]] +name = "hyperframe" +version = "6.0.1" +description = 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python-multipart = "^0.0.9" asyncpg = "^0.29.0" +llama-index = "^0.10.55" +llama-index-vector-stores-supabase = "^0.1.5" +llama-index-llms-llama-cpp = "^0.1.4" [tool.poetry.group.dev] optional = true diff --git a/frontend/app/api/admin/collections/route.ts b/frontend/app/api/admin/collections/route.ts index 332dccc..f3ef03a 100644 --- a/frontend/app/api/admin/collections/route.ts +++ b/frontend/app/api/admin/collections/route.ts @@ -38,44 +38,3 @@ export async function GET(request: NextRequest) { return NextResponse.json({ collections: collections }); } - -// PUT request to update the collection data in the database -export async function PUT(request: NextRequest) { - // Create a new Supabase client - const supabase = createClient( - process.env.SUPABASE_URL ?? '', - process.env.SUPABASE_SERVICE_ROLE_KEY ?? '', - { db: { schema: 'public' } }, - ); - - // Retrieve the collection ID from the request body - const { collection_id, is_public } = await request.json(); - - // Update the collection data in the database - const { data: updateData, error: updateError } = await supabase - .from('collections') - .update({ is_public: is_public }) - .eq('collection_id', collection_id); - - if (updateError) { - console.error('Error updating collection data in database:', updateError.message); - return NextResponse.json({ error: updateError.message }, { status: 500 }); - } - - // console.log('Updated collection:', data); - - // Delete the collection requests data in the database (Since it is manually updated by Admin) - const { data: delData, error: delError } = await supabase - .from('collections_requests') - .delete() - .eq('collection_id', collection_id); - - if (delError) { - console.error('Error deleting collection requests data in database:', delError.message); - return NextResponse.json({ error: delError.message }, { status: 500 }); - } - - // console.log('Deleted collection requests:', delData); - - return NextResponse.json({ message: 'Collection updated successfully' }); -} \ No newline at end of file diff --git a/frontend/app/api/admin/collections/update/route.ts b/frontend/app/api/admin/collections/update/route.ts new file mode 100644 index 0000000..e287611 --- /dev/null +++ b/frontend/app/api/admin/collections/update/route.ts @@ -0,0 +1,60 @@ +export const revalidate = 10; + +import { createClient } from '@supabase/supabase-js'; +import { NextRequest, NextResponse } from "next/server"; + +// POST request to update the collection data in the database +export async function POST(request: NextRequest) { + // Create a new Supabase client + const supabase = createClient( + process.env.SUPABASE_URL ?? '', + process.env.SUPABASE_SERVICE_ROLE_KEY ?? '', + { db: { schema: 'public' } }, + ); + + // Retrieve the collection ID from the request body + const { collection_id, is_public } = await request.json(); + + // Update the collection data in the database + const { data: updateData, error: updateError } = await supabase + .from('collections') + .update({ is_public: is_public }) + .eq('collection_id', collection_id); + + if (updateError) { + console.error('Error updating collection data in database:', updateError.message); + return NextResponse.json({ error: updateError.message }, { status: 500 }); + } + + // console.log('Updated collection:', updateData); + + // Check if there is an existing collection request for the collection + const { data: collReq, error: collReqError } = await supabase + .from('collections_requests') + .select('collection_id') + .eq('collection_id', collection_id); + + if (collReqError) { + console.error('Error fetching collection requests data from database:', collReqError.message); + return NextResponse.json({ error: collReqError.message }, { status: 500 }); + } + + // console.log('Collection requests:', collReq); + + // If there is an existing collection request, delete it + if (collReq.length === 1) { + const { data: delData, error: delError } = await supabase + .from('collections_requests') + .delete() + .eq('collection_id', collection_id); + + if (delError) { + console.error('Error deleting collection requests data in database:', delError.message); + return NextResponse.json({ error: delError.message }, { status: 500 }); + } + + // console.log('Deleted collection requests:', delData); + } + + return NextResponse.json({ message: 'Collection updated successfully' }); +} \ No newline at end of file diff --git a/frontend/app/components/ui/admin/admin-manage-collections.tsx b/frontend/app/components/ui/admin/admin-manage-collections.tsx index 814bff6..ede09a1 100644 --- a/frontend/app/components/ui/admin/admin-manage-collections.tsx +++ b/frontend/app/components/ui/admin/admin-manage-collections.tsx @@ -70,8 +70,8 @@ export default function AdminManageCollections() { }).then((result) => { if (result.isConfirmed) { // if user confirms, send request to server - fetch(`/api/admin/collections`, { - method: 'PUT', + fetch(`/api/admin/collections/update`, { + method: 'POST', headers: { 'Content-Type': 'application/json', }, @@ -131,8 +131,8 @@ export default function AdminManageCollections() { }).then((result) => { if (result.isConfirmed) { // if user confirms, send request to server - fetch(`/api/admin/collections`, { - method: 'PUT', + fetch(`/api/admin/collections/update`, { + method: 'POST', headers: { 'Content-Type': 'application/json', }, diff --git a/frontend/package-lock.json b/frontend/package-lock.json index b201276..388bd99 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -1,12 +1,12 @@ { "name": "smart-retrieval", - "version": "0.1.0", + "version": "0.3.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "smart-retrieval", - "version": "0.1.0", + "version": "0.3.0", "dependencies": { "@auth/supabase-adapter": "^0.6.0", "@nextui-org/react": "^2.2.9", @@ -4232,11 +4232,11 @@ } }, "node_modules/braces": { - "version": "3.0.2", - "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz", - "integrity": "sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==", + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz", + "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==", "dependencies": { - "fill-range": "^7.0.1" + "fill-range": "^7.1.1" }, "engines": { "node": ">=8" @@ -5688,9 +5688,9 @@ "peer": true }, "node_modules/fast-loops": { - "version": "1.1.3", - "resolved": "https://registry.npmjs.org/fast-loops/-/fast-loops-1.1.3.tgz", - "integrity": "sha512-8EZzEP0eKkEEVX+drtd9mtuQ+/QrlfW/5MlwcwK5Nds6EkZ/tRzEexkzUY2mIssnAyVLT+TKHuRXmFNNXYUd6g==" + "version": "1.1.4", + "resolved": "https://registry.npmjs.org/fast-loops/-/fast-loops-1.1.4.tgz", + "integrity": "sha512-8dbd3XWoKCTms18ize6JmQF1SFnnfj5s0B7rRry22EofgMu7B6LKHVh+XfFqFGsqnbH54xgeO83PzpKI+ODhlg==" }, "node_modules/fast-shallow-equal": { "version": "1.0.0", @@ -5735,9 +5735,9 @@ } }, "node_modules/fill-range": { - "version": "7.0.1", - "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.0.1.tgz", - "integrity": "sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==", + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz", + "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==", "dependencies": { "to-regex-range": "^5.0.1" }, @@ -12758,9 +12758,9 @@ "peer": true }, "node_modules/sweetalert2": { - "version": "11.11.0", - "resolved": "https://registry.npmjs.org/sweetalert2/-/sweetalert2-11.11.0.tgz", - "integrity": "sha512-wKCTtoE6lQVDKaJ5FFq+znk/YykJmJlD8RnLZps8C7DyivctCoRlVeeOwnKfgwKS+QJYon7s++3dmNi3/am1tw==", + "version": "11.12.2", + "resolved": "https://registry.npmjs.org/sweetalert2/-/sweetalert2-11.12.2.tgz", + "integrity": "sha512-Rwv5iRYlApkDSXeX22aLhhWMlWPzFxnNBVLZajkFKYhaVEfQkMOPQQRhBtSFxKBPCoko9U3SccWm9hI4o3Id0Q==", "funding": { "type": "individual", "url": "https://github.com/sponsors/limonte" @@ -13691,9 +13691,9 @@ "peer": true }, "node_modules/ws": { - "version": "8.16.0", - "resolved": "https://registry.npmjs.org/ws/-/ws-8.16.0.tgz", - "integrity": "sha512-HS0c//TP7Ina87TfiPUz1rQzMhHrl/SG2guqRcTOIUYD2q8uhUdNHZYJUaQ8aTGPzCh+c6oawMKW35nFl1dxyQ==", + "version": "8.18.0", + "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.0.tgz", + "integrity": "sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw==", "engines": { "node": ">=10.0.0" },