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txtai is an open-source AI framework that provides semantic search and vector database capabilities for language model workflows.
Marqo is an open-source neural search engine that leverages vector representations to enable semantic search over textual data. It abstracts vector database complexity and provides a high-level interface for building advanced search applications.
A curated collection of open-source vector database projects, providing a centralized list for exploring and comparing solutions designed for vector search and AI applications.
FastText is an open-source library by Facebook for efficient learning of word representations and text classification. It generates high-dimensional vector embeddings used in vector databases for tasks like semantic search and document clustering.
GloVe is a widely used method for generating word embeddings using co-occurrence statistics from text corpora. These embeddings are commonly used as input to vector databases for semantic search and other vector-based information retrieval tasks.
LangChain is an open-source framework that integrates with various vector databases, including Pinecone, Weaviate, and Chroma, to facilitate retrieval-augmented generation (RAG) and advanced AI workflows.
Category: SDKs & Libraries
Tags: open-source, semantic-search, vector-databases, ai
txtai is an open-source, all-in-one AI framework for semantic search, LLM orchestration, and language model workflows. It provides an embeddings database that combines vector indexes (sparse and dense), graph networks, and relational databases, enabling advanced vector search and serving as a powerful knowledge source for large language model (LLM) applications.
pip install txtaiLicense: Apache-2.0