semantic-search

🔮 Build multimodal AI services via cloud native technologies

🔍 Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.

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 search and workflows powered by language models

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

Vector search for humans.

Top2Vec learns jointly embedded topic, document and word vectors.

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

Multi-tool for semantic search

The no-code platform for building custom LLM Agents

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.

🔎 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

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

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)

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

SGPT: GPT Sentence Embeddings for Semantic Search

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Search assistant for your org-mode, markdown notes, beancount transaction and images 🦅