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Data framework for LLM applications: ingestion, indexing, retrieval, and agents over documents and APIs.
ragllmagentsretrieval
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5 tools match your filters
Also strong
Deepset framework for production-ready search and RAG: pipelines, document stores, and evaluation for QA systems.
ragsearchnlppipelines
Also strong
Open-source embedding database focused on developer ergonomics for LLM apps: local dev, server mode, and simple APIs.
vector-databaseembeddingsragllm
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Vector search engine with filtering, REST/gRPC APIs, and cloud or self-hosted deployment for embeddings at scale.
vector-databasesearchragembeddings
Rust-based high-throughput server for sentence-transformers–class embedding models with GPU/CPU backends.
embeddingsinferenceragrusttaaft-repositories