🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (Models, Vector DBs, File Converters) to Pipelines or Agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search and conversational agent

Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

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

💡 Semantic search and workflows powered by language models

Vector search for humans.

An AI personal assistant for your digital brain

Top2Vec learns jointly embedded topic, document and word vectors.

🧬 Represent, send, and store multimodal data · Neural Search · Vector Search · Document Store

The no-code platform for building custom LLM Agents

Multi-tool for semantic search

Run OpenAI's CLIP model on iOS to search photos.

Easily compute clip embeddings and build a clip retrieval system with them

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

A curated list of Generative AI tools, works, models, and references

🔎 Search the information available on a webpage using natural language instead of an exact string match.

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

SGPT: GPT Sentence Embeddings for Semantic Search

Create navigable knowledge from multi-media content.

The prime repository for state-of-the-art Multilingual Question Answering research and development.