vectordb

Neo4j graph construction from unstructured data using LLMs

The pretty much "official" DSPy framework for Typescript

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

A @ClickHouse fork that supports high-performance vector search and full-text search.

The simplest way to build AI workloads on Postgres

A collection of apps powered by the LangChain LLM framework.

LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

In-memory vector store with efficient read and write performance for semantic caching and retrieval system. Redis for Semantic Caching.

vsag is a vector indexing library used for similarity search.

AI Native database for embedding vectors

Awesome List of Vector DB resources

AI Toolkit for Node.js (LLM, Image Generation, Embeddings, Vector Search)

TinyVecDB is an ultra fast embedded vector database.

ABAP Vector Search Library

A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.

Zephyr 7B beta RAG Demo inside a Gradio app powered by BGE Embeddings, ChromaDB, and Zephyr 7B Beta LLM.

Simple in-memory vector database for text similarity in Node.js

AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB

Fnord is an AI code archaeologist.