pgvector
There are 204 repositories under pgvector topic.
supabase/supabase
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
1Panel-dev/MaxKB
💬 Ready-to-use & flexible RAG Chatbot, supporting mainstream large language models (LLMs) such as DeepSeek-R1, Llama 3.3, Qwen2, OpenAI and more.
langchain4j/langchain4j
Java version of LangChain
aws-samples/aws-genai-llm-chatbot
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
gannonh/chatgpt-pgvector
ChatGTP (gpt3.5-turbo) starter app
SkywalkerDarren/chatWeb
ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.
superlinear-ai/raglite
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
Oneirocom/Magick
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
different-ai/embedbase
A dead-simple API to build LLM-powered apps
danny-avila/rag_api
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Azure-Samples/rag-postgres-openai-python
A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.
smalltong02/keras-llm-robot
A web UI Project In order to learn the large language model. This project includes features such as chat, quantization, fine-tuning, prompt engineering templates, and multimodality.
supabase/vecs
Postgres/pgvector Python Client
DiscovAI/DiscovAI-search
🔍 DiscovAI-Search: An AI-powered search engine for AI tools and custom data. Built with Next.js, OpenAI, Supabase, and more. Features vector-based search, Redis caching, and LLM-powered responses.
neondatabase/yc-idea-matcher
Submit your idea and get a list of similar ideas that YCombinator has invested in in the past.
timescale/vector-cookbook
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
supabase-community/deno-fresh-openai-doc-search
Template for building your own custom ChatGPT style doc search powered by Fresh, Deno, OpenAI, and Supabase.
aws-samples/rag-with-amazon-bedrock-and-pgvector
Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)
daymade/tiktok-whisper
Batch convert video to text using openai's whisper or the local coreML via whisper.cpp on your MacBook
thinknimble/embeddings-search-demo
Prototype app enabling job description search using natural language description of a job seeker.
orm011/pgserver
Pip-installable, embedded-like postgres server for your python app
agoodway/vecto
Hybrid Search with Postgres and Ecto
aronweiler/assistant
An intellligent AI assistant that can do anything!
madarco/ragrabbit
Open Source, Self-Hosted, AI Search and LLM.txt for your website
mazzasaverio/fastapi-your-data
Learning journey to develop a scalable and modular backend to manage your data and solve your problems
team-openpm/cloudflare-vector-search
A Cloudflare Page showing how to do semantic search
timescale/private-rag-example
Private RAG app sample using Llama3, Ollama and PostgreSQL
vdutts7/constitutionGPT
AI chat over the US Constitution 📜 💬 🇺🇸
neondatabase/db-per-tenant
Example chat-with-pdf app showing how to provision a dedicated database instance for each user. In this app, every database uses pgvector for similarity search. Powered by Neon
ItzCrazyKns/Neon-Image-Search
Search for similar images using NeonDB and Vertex AI.
mzarnecki/php-rag
This application uses LLMs like DeepSeek, GPT-4o, Claude, Gemini2 or Llama, Mixtral (locally) in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of LLMs and access to source documen
mazzasaverio/fastapi-langchain-rag
(Let's start with a) Scalable question-answering system utilizing FastAPI, LangChain (LCEL), and PGVector, featuring an ingestion pipeline. Deployed on GCP Cloud Run via Terraform.
YugabyteDB-Samples/openai-pgvector-lodging-service
A lodging recommendation service for properties in San Francisco, powered by OpenAI and the PostgreSQL pgvector extension.
ivanlonel/postgis-with-extensions
PostgreSQL Docker image based on postgis/postgis, with quite a few added extensions.
build-on-aws/rag-golang-postgresql-langchain
Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs
Angular2Guy/AIDocumentLibraryChat
A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.