Search Results
9 results for “retrieval”
Chroma
An open-source vector database designed for embedding-based applications, optimised for developer ergonomics and increasingly for large-scale serverless retrieval through a 2025 Rust-core rewrite.
LangChain
LangChain is an open-source framework for building applications powered by large language models, providing composable abstractions for chaining LLM calls with tools, memory, and data retrieval in Python and JavaScript.
LlamaIndex
LlamaIndex is an open-source Python and TypeScript framework for building retrieval-augmented and agentic AI applications over private data sources.
Pinecone
Pinecone is a managed, cloud-native vector database designed for storing high-dimensional embeddings and serving low-latency similarity search for retrieval-augmented AI applications.
Qdrant
An open-source, Rust-based vector database and similarity search engine designed for high-performance storage and retrieval of high-dimensional embeddings, with support for hybrid search and multitenant deployments.
Question Answering
Question answering is the natural language processing task of producing accurate answers to questions posed in natural language, often using information retrieval, reading comprehension, or large language models.
Retrieval-Augmented Generation
A technique that enhances large language model outputs by retrieving relevant documents from an external knowledge base at inference time, grounding responses in up-to-date and domain-specific information.
Semantic Search
Semantic search is a search paradigm that retrieves results based on the meaning and intent of a query rather than exact keyword matches, using vector embeddings to measure conceptual similarity between text.
Vector Database
A specialised database system that stores data as high-dimensional numerical vectors and enables fast approximate nearest-neighbour search, forming the retrieval backbone of semantic search and RAG systems.