Statistics for topic embeddings

The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

The Memory layer for your AI apps

the AI-native open-source embedding database

Retrieval and Retrieval-augmented LLMs

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

Automatic news aggregator in Telegram / Автоматический агрегатор новостей в Телеграме

A NodeJS RAG framework to easily work with LLMs and embeddings

Rust library for generating vector embeddings, reranking locally

Build, evaluate and observe LLM apps

The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

The Memory layer for your AI apps

the AI-native open-source embedding database

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Retrieval and Retrieval-augmented LLMs

Unified Clinical Vocabulary Embeddings for Advancing Precision Medicine

🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows

Lightweight Nearest Neighbors with Flexible Backends

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)

The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

The Memory layer for your AI apps

the AI-native open-source embedding database

Retrieval and Retrieval-augmented LLMs

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Lightweight Nearest Neighbors with Flexible Backends

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)

Rust library for generating vector embeddings, reranking locally

🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

ETL, Analytics, Versioning for Unstructured Data

Text-To-Speech, RAG, and LLMs. All local!

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.

Generative Representational Instruction Tuning

The Memory layer for your AI apps

The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

the AI-native open-source embedding database

Retrieval and Retrieval-augmented LLMs

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Text-To-Speech, RAG, and LLMs. All local!

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

Your Local Artificial Memory on your Device.

The Clay Foundation Model - An open source AI model and interface for Earth

RESTai is an AIaaS (AI as a Service) open-source platform. Built on top of LlamaIndex & Langchain. Supports any public LLM supported by LlamaIndex and any local LLM suported by Ollama/vLLM/etc. Precis...