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 AI-native open-source embedding database

The Memory layer for your AI apps

Retrieval and Retrieval-augmented LLMs

AI-data warehouse to enrich, transform and analyze unstructured data

State-of-the-art embedding models fine-tuned for the ecommerce domain. +67% increase in evaluation metrics vs ViT-B-16-SigLIP.

code for training & evaluating Contextual Document Embedding models

Hybrid Search with Postgres and Ecto

Distill a Small Static Model from any Sentence Transformer

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

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

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

the AI-native open-source embedding database

The Memory layer for your AI apps

Retrieval and Retrieval-augmented LLMs

State-of-the-art embedding models fine-tuned for the ecommerce domain. +67% increase in evaluation metrics vs ViT-B-16-SigLIP.

All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers

code for training & evaluating Contextual Document Embedding models

Postgres extensions to support end-to-end Retrieval-Augmented Generation (RAG) pipelines

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

code for training & evaluating Contextual Document Embedding models

AI-data warehouse to enrich, transform and analyze unstructured data

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

Go library for embedded vector search and semantic embeddings using llama.cpp

code for training & evaluating Contextual Document Embedding models

Postgres extensions to support end-to-end Retrieval-Augmented Generation (RAG) pipelines

AI-data warehouse to enrich, transform and analyze unstructured data

Fast similarity search using DuckDB

AI-data warehouse to enrich, transform and analyze 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

Train Models Contrastively in Pytorch

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

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...

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

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

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

Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)