LLM-Performance-with-Azure-Cosmos-DB-Semantic-Cache

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

AI + Data, online. https://vespa.ai

Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

ACID Document Database

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

Distributed vector search for AI-native applications

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

A SQLite extension for efficient vector search, based on Faiss!

Build LLM-powered applications in Ruby