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chromadbcopy "chromadb: ^1.4.2" to clipboard
chromadb: ^1.4.2 copied to clipboard

20
likes
160
points
347
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Dart client for the ChromaDB vector database API - the open-source embedding database for AI applications.#gen-ai#vector-database#embeddings#rag#chromadb

v 1.4.2 (11 days ago)verified publisherlangchaindart.devMIT

local_hnswcopy "local_hnsw: ^1.0.0" to clipboard
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8
likes
130
points
6.59k
downloads
A lightweight, in-memory HNSW (Hierarchical Navigable Small World) vector index for Dart & Flutter. Supports fast approximate nearest neighbor (ANN) search with cosine or Euclidean similarity. #vector-search#ann#hnsw#embeddings

v 1.0.0 (17 months ago)MIT

ai_core_codesparkcopy "ai_core_codespark: ^0.2.0" to clipboard
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10
likes
160
points
44
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Local AI model for Flutter — on-device text embeddings & vector search, fully offline, no API keys or cloud. The engine behind semantic search & RAG.#embeddings#vector-search#offline-ai#local-ai#onnx

v 0.2.0 (2 months ago)verified publisherksaikiran.devMIT

flutter_gemma_embeddingscopy "flutter_gemma_embeddings: ^2.1.1" to clipboard
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1
likes
160
points
11.3k
downloads
Runtime-agnostic on-device text embedding pipeline for flutter_gemma: tokenization, isolate worker, pooling and normalization. Pair with an engine package for a backend.#embeddings#gemma#litert#rag#on-device

v 2.1.1 (6 days ago)verified publishersashadenisov.devMIT

model2veccopy "model2vec: ^2.0.3" to clipboard
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2
likes
160
points
189
downloads
On-device Model2Vec text embeddings for Dart & Flutter — a self-contained Rust core via FFI and Native Assets. Fast, local, static, minimal memory.#rag#nlp#embeddings#tokenizer#model2vec

v 2.0.3 (30 days ago)verified publisherpro100.devMIT

agentic_vectorcopy "agentic_vector: ^0.1.1" to clipboard
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recently created package Added 18 days ago
2
likes
160
points
142
downloads
A vector store port with metadata filtering, exact in-process search with snapshots, and a Qdrant adapter. Typed Float64List arithmetic throughout.#ai#vector-database#embeddings#rag#agentic

v 0.1.1 (17 days ago)MIT

agentic_ragcopy "agentic_rag: ^0.1.1" to clipboard
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recently created package Added 18 days ago
2
likes
160
points
133
downloads
Retrieval-augmented generation for Dart: loading, chunking, dense and BM25 retrieval, rank fusion, re-ranking, cited answers and retrieval tools.#ai#rag#retrieval#embeddings#agentic

v 0.1.1 (17 days ago)MIT

flutter_gemma_rag_sqlitecopy "flutter_gemma_rag_sqlite: ^1.3.2" to clipboard
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1
likes
160
points
531
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SQLite vector search (sqlite-vec) on-device RAG vector store for flutter_gemma. Opt-in package; implements flutter_gemma's VectorStoreRepository.#rag#sqlite#vector-search#embeddings#web

v 1.3.2 (30 hours ago)verified publishersashadenisov.devMIT

rag_kitcopy "rag_kit: ^1.3.0" to clipboard
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1
likes
160
points
274
downloads
Pure-Dart RAG (retrieval-augmented generation): chunking, embeddings, vector search, and context building. Zero dependencies, bring your own embedding model.#rag#retrieval#embeddings#llm#nlp

v 1.3.0 (15 days ago)verified publisherdeveloperyusuf.comMIT

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vector_kitcopy "vector_kit: ^1.4.0" to clipboard
vector_kit: ^1.4.0 copied to clipboard

1
likes
160
points
175
downloads
SIMD-accelerated vector math for embeddings: dot product, cosine similarity, normalization, and top-k search over packed matrices.#simd#vectors#embeddings#similarity#performance

v 1.4.0 (15 days ago)verified publisherdeveloperyusuf.comMIT

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