Reverse Dependencies of pgvector

The following projects have a declared dependency on pgvector:

• aimbase — Declarative, instant REST APIs for base AI Models based on instarest, a FastAPI, Pydantic, SQLAlchemy, and PostgreSQL library, and MinIO.
• apache-airflow-providers-pgVector — Provider package apache-airflow-providers-pgvector for Apache Airflow
• arcusapi — Arcus Data Platform Client SDK.
• article-rec-db — Database models and migrations for the Local News Lab's article recommendation system
• brdata-rag-tools — Improve development of retrieval augmented generation (RAG) applications at the BR AI + Automation Lab.
• brevia — Extensible API and framework to build your Retrieval Augmented Generation (RAG) and Information Extraction (IE) applications with LLMs
• chatdbt — chatdbt is an openai-based dbt documentation robot. You can use natural language to describe your data query requirements to the robot, and chatdbt will help you select the dbt model you need, or generate sql responses based on these dbt models to meet your need
• dewy — Knowledge base service.
• dialog-lib — no summary
• django-afpgvector — Package for handling postgres vector database
• django-langchain — Django Langchain
• flying-delta-legacy — Interface between LLMs and your data
• genius-agent — Create various chat agents based off YAML or JSON files of predefined configs
• genius-chatbot — Use huggingface models to create an intelligent and scalable chatbot
• gigachain — Building applications with LLMs through composability
• gigachain-community — Community contributed LangChain integrations.
• griptape — Modular Python framework for LLM workflows, tools, memory, and data.
• Indox — Indox Retrieval Augmentation
• khoj-assistant — An AI copilot for your Second Brain
• kitab — A package for book recommendation.
• langchain — Building applications with LLMs through composability
• langchain_1111_Dev_cerebrum — Building applications with LLMs through composability
• langchain-by-johnsnowlabs — Building applications with LLMs through composability
• langchain-community — Community contributed LangChain integrations.
• langchain-google-alloydb-pg — LangChain integrations for Google Cloud AlloyDB for PostgreSQL
• langchain-google-cloud-sql-pg — LangChain integrations for Google Cloud SQL for PostgreSQL
• langchain-postgres — An integration package connecting Postgres and LangChain
• langchain-xfyun — 在LangChain中流畅地使用讯飞星火大模型
• langchaincoexpert — Building applications with LLMs through composability
• langchainmsai — Building applications with LLMs through composability
• langchainn — Building applications with LLMs through composability
• langflow — A Python package with a built-in web application
• langgraph-studio — no summary
• langpack — A library to pakcage and deploy langugage model apps
• langplus — Building applications with LLMs through composability
• llama-index-core — Interface between LLMs and your data
• llama-index-legacy — Interface between LLMs and your data
• llama-index-vector-stores-postgres — llama-index vector_stores postgres integration
• llmreflect — a package for llm self-reflection
• magic-assistant — An AI agent framework.
• nendo_plugin_library_postgres — PostgresDB implementation of the Nendo Library plugin. Comes with support for track embeddings.
• omnivector — .
• oplangchain — langchain for OpenPlugin
• pf-azuredb — Package for use in promptflow for vector search in azure db
• pgvector-haystack — An integration of pgvector (vector search extension for Postgres) with Haystack
• pixeltable — Pixeltable: The Multimodal AI Data Plane
• PyAutoGen — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• pymemgpt — Create LLM agents with long-term memory and custom tools
• pymemgpt-nightly — Create LLM agents with long-term memory and custom tools
• quintus — Document Embedding and Inference
• rag-doc-search — This package offers a lightweight and straightforward solution for implementing Retrieval-augmented generation (RAG) functionality with large language models (LLMs).
• ragstack-ai-langflow — RAGStack Langflow
• sayvai-tools — Tools for the assistant
• tc-hivemind-backend — This repository is a shared library for together hivemind etl and bot codes.
• therix — Therix is the SDK for langchain based applications.
• timescale-vector — Python library for storing vector data in Postgres
• tinyllm — Development and management infrastructure for LLM applications
• triton-bert — easy to use bert with nvidia triton inference server
• vectorcraft — A custom library extending LangChain functionality.
• vectordb-bench — VectorDBBench is not just an offering of benchmark results for mainstream vector databases and cloud services, it's your go-to tool for the ultimate performance and cost-effectiveness comparison. Designed with ease-of-use in mind, VectorDBBench is devised to help users, even non-professionals, reproduce results or test new systems, making the hunt for the optimal choice amongst a plethora of cloud services and open-source vector databases a breeze.
• vesslflow — VESSLFlow
• wagtail-vector-index — Add your content to vector indexes for fast search and similarity matching.