flashrank
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
txtai
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
com.arcadedb:arcadedb-console
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
@llm-tools/embedjs
A NodeJS RAG framework to easily work with LLMs and embeddings
canada-labour-research-assistant
The Canada Labour Research Assistant (CLaRA) is a privacy-first LLM-powered RAG AI assistant proposing Easily Verifiable Direct Quotations (EVDQ) to mitigate hallucinations in answering questions about Canadian labour laws, standards, and regulations. It works entirely offline and locally, guaranteeing the confidentiality of your conversations.
ragoon
High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
quick-start-creating-a-vector-database-for-rag
A playground for vector database exploration using Chroma
langchain-chatbot
AI Chatbot for analyzing/extracting information from data in conversational format.