{"data":{"node":{"slug":"milvus-io-pymilvus","name":"pymilvus","tagline":"Python SDK for Milvus Vector Database","github_url":"https://github.com/milvus-io/pymilvus","owner":"milvus-io","repo":"pymilvus","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Python","stars":1406,"forks":453,"topics":["anns","faiss","faiss-vector-database","milvus","milvus-lite","milvus-sdk","python","python-sdk","vector-database"],"archived":false,"github_pushed_at":"2026-08-19T07:15:13+00:00","maintenance_label":"Very active","stars_delta_30d":6,"url":"https://www.graphcanon.com/tools/milvus-io-pymilvus","markdown_url":"https://www.graphcanon.com/tools/milvus-io-pymilvus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-pymilvus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-pymilvus"},"categories":[{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"anns","name":"anns"},{"slug":"faiss","name":"faiss"},{"slug":"milvus","name":"milvus"},{"slug":"python-sdk","name":"python sdk"}],"edges":[{"type":"integrates_with","direction":"out","explanation":"The bootcamp is designed to help users master use cases involving Milvus. As PyMilvus is the Python SDK for Milvus, the two integrate to allow practical learning and hands-on experience with the technologies.","successor_context":null,"tool":{"slug":"milvus-io-bootcamp","name":"bootcamp","tagline":"Dealing with all unstructured data including reverse image search, audio search, molecular search, video analysis, and question-answer systems.","github_url":"https://github.com/milvus-io/bootcamp","owner":"milvus-io","repo":"bootcamp","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Jupyter Notebook","stars":2443,"forks":684,"topics":["audio-search","deep-learning","embeddings","image-classification","image-recognition","image-search","llm","milvus","nlp","python","question-answering","rag","semantic-search","unstructured-data","vector-database"],"archived":false,"github_pushed_at":"2026-08-11T02:10:46+00:00","maintenance_label":"Active","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/milvus-io-bootcamp","markdown_url":"https://www.graphcanon.com/tools/milvus-io-bootcamp.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-bootcamp","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-bootcamp"}},{"type":"alternative","direction":"out","explanation":"Qdrant is another high-performance vector database and search engine that competes with pymilvus in providing solutions for next-generation AI applications.","successor_context":null,"tool":{"slug":"qdrant-qdrant","name":"qdrant","tagline":"High-performance, massive-scale Vector Database and Vector Search Engine","github_url":"https://github.com/qdrant/qdrant","owner":"qdrant","repo":"qdrant","owner_avatar_url":"https://avatars.githubusercontent.com/u/73504361?v=4","primary_language":"Rust","stars":33629,"forks":2529,"topics":["ai-search","ai-search-engine","embeddings-similarity","hnsw","hybrid-search","image-search","knn-algorithm","machine-learning","mlops","nearest-neighbor-search","neural-network","neural-search","recommender-system","search","search-engine","search-engines","similarity-search","vector-database","vector-search","vector-search-engine"],"archived":false,"github_pushed_at":"2026-07-28T17:03:13+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/qdrant-qdrant","markdown_url":"https://www.graphcanon.com/tools/qdrant-qdrant.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/qdrant-qdrant","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=qdrant-qdrant"}},{"type":"related","direction":"out","explanation":"Deep Searcher is an alternative for deep research tasks using vector databases, and thus shares a related but distinct use case compared to PyMilvus, which focuses on the Milvus SDK.","successor_context":null,"tool":{"slug":"zilliztech-deep-searcher","name":"deep-searcher","tagline":"Open Source Deep Research Alternative to Reason and Search on Private Data.","github_url":"https://github.com/zilliztech/deep-searcher","owner":"zilliztech","repo":"deep-searcher","owner_avatar_url":"https://avatars.githubusercontent.com/u/18416694?v=4","primary_language":"Python","stars":8060,"forks":775,"topics":["agent","agentic-rag","claude","deep-research","deepseek","deepseek-r1","grok","grok3","llama4","llm","milvus","openai","qwen3","rag","reasoning-models","vector-database","zilliz"],"archived":false,"github_pushed_at":"2025-11-19T06:04:16+00:00","maintenance_label":"Slowing","stars_delta_30d":59,"url":"https://www.graphcanon.com/tools/zilliztech-deep-searcher","markdown_url":"https://www.graphcanon.com/tools/zilliztech-deep-searcher.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zilliztech-deep-searcher","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zilliztech-deep-searcher"}},{"type":"depends_on","direction":"out","explanation":"PyMilvus is a Python SDK for Milvus, meaning that it depends on the Milvus vector database to function.","successor_context":null,"tool":{"slug":"milvus-io-milvus","name":"milvus","tagline":"High-performance cloud-native vector database","github_url":"https://github.com/milvus-io/milvus","owner":"milvus-io","repo":"milvus","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Go","stars":45402,"forks":4147,"topics":["anns","cloud-native","diskann","distributed","embedding-database","embedding-similarity","embedding-store","faiss","golang","hnsw","image-search","llm","nearest-neighbor-search","rag","vector-database","vector-search","vector-similarity","vector-store"],"archived":false,"github_pushed_at":"2026-07-28T17:42:13+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/milvus-io-milvus","markdown_url":"https://www.graphcanon.com/tools/milvus-io-milvus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-milvus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-milvus"}},{"type":"integrates_with","direction":"out","explanation":"pymilvus integrates with milvus by providing a Python interface that allows developers to interact with Milvus' functionalities for efficient vector similarity search and storage.","successor_context":null,"tool":{"slug":"milvus-io-milvus","name":"milvus","tagline":"High-performance cloud-native vector database","github_url":"https://github.com/milvus-io/milvus","owner":"milvus-io","repo":"milvus","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Go","stars":45402,"forks":4147,"topics":["anns","cloud-native","diskann","distributed","embedding-database","embedding-similarity","embedding-store","faiss","golang","hnsw","image-search","llm","nearest-neighbor-search","rag","vector-database","vector-search","vector-similarity","vector-store"],"archived":false,"github_pushed_at":"2026-07-28T17:42:13+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/milvus-io-milvus","markdown_url":"https://www.graphcanon.com/tools/milvus-io-milvus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-milvus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-milvus"}},{"type":"related","direction":"out","explanation":"VectorDBBench is a benchmark for vector databases, and while PyMilvus itself does not directly interact with benchmarks, it can be considered related as part of the ecosystem supporting Milvus.","successor_context":null,"tool":{"slug":"zilliztech-vectordbbench","name":"VectorDBBench","tagline":"Benchmark for vector databases","github_url":"https://github.com/zilliztech/VectorDBBench","owner":"zilliztech","repo":"VectorDBBench","owner_avatar_url":"https://avatars.githubusercontent.com/u/18416694?v=4","primary_language":"Python","stars":1164,"forks":425,"topics":["benchmark","cost-effectiveness","performance","vector-database","vector-search","vectordb"],"archived":false,"github_pushed_at":"2026-08-14T10:00:47+00:00","maintenance_label":"Active","stars_delta_30d":17,"url":"https://www.graphcanon.com/tools/zilliztech-vectordbbench","markdown_url":"https://www.graphcanon.com/tools/zilliztech-vectordbbench.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zilliztech-vectordbbench","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zilliztech-vectordbbench"}},{"type":"alternative","direction":"out","explanation":"Meilisearch and pymilvus both serve as vector database solutions, with Meilisearch focusing on bringing AI-powered hybrid search to applications.","successor_context":null,"tool":{"slug":"meilisearch-meilisearch","name":"meilisearch","tagline":"A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.","github_url":"https://github.com/meilisearch/meilisearch","owner":"meilisearch","repo":"meilisearch","owner_avatar_url":"https://avatars.githubusercontent.com/u/43250847?v=4","primary_language":"Rust","stars":59034,"forks":2672,"topics":["ai","api","app-search","database","enterprise-search","faceting","full-text-search","fuzzy-search","geosearch","hybrid-search","instantsearch","search","search-as-you-type","search-engine","semantic-search","site-search","typo-tolerance","vector-database","vector-search","vectors"],"archived":false,"github_pushed_at":"2026-08-14T09:38:01+00:00","maintenance_label":"Very active","stars_delta_30d":352,"url":"https://www.graphcanon.com/tools/meilisearch-meilisearch","markdown_url":"https://www.graphcanon.com/tools/meilisearch-meilisearch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/meilisearch-meilisearch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=meilisearch-meilisearch"}},{"type":"integrates_with","direction":"in","explanation":"pymilvus is the Python SDK for interacting with Milvus, so they are designed to work together.","successor_context":null,"tool":{"slug":"milvus-io-milvus","name":"milvus","tagline":"High-performance cloud-native vector database","github_url":"https://github.com/milvus-io/milvus","owner":"milvus-io","repo":"milvus","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Go","stars":45402,"forks":4147,"topics":["anns","cloud-native","diskann","distributed","embedding-database","embedding-similarity","embedding-store","faiss","golang","hnsw","image-search","llm","nearest-neighbor-search","rag","vector-database","vector-search","vector-similarity","vector-store"],"archived":false,"github_pushed_at":"2026-07-28T17:42:13+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/milvus-io-milvus","markdown_url":"https://www.graphcanon.com/tools/milvus-io-milvus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-milvus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-milvus"}},{"type":"integrates_with","direction":"in","explanation":"The pymilvus SDK is the Python interface required to interact with Milvus in the tutorials and demos provided by the bootcamp, indicating a clear integration relationship.","successor_context":null,"tool":{"slug":"milvus-io-bootcamp","name":"bootcamp","tagline":"Dealing with all unstructured data including reverse image search, audio search, molecular search, video analysis, and question-answer systems.","github_url":"https://github.com/milvus-io/bootcamp","owner":"milvus-io","repo":"bootcamp","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Jupyter Notebook","stars":2443,"forks":684,"topics":["audio-search","deep-learning","embeddings","image-classification","image-recognition","image-search","llm","milvus","nlp","python","question-answering","rag","semantic-search","unstructured-data","vector-database"],"archived":false,"github_pushed_at":"2026-08-11T02:10:46+00:00","maintenance_label":"Active","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/milvus-io-bootcamp","markdown_url":"https://www.graphcanon.com/tools/milvus-io-bootcamp.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-bootcamp","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-bootcamp"}},{"type":"alternative","direction":"in","explanation":"qdrant-client and pymilvus both provide SDKs for vector search engines, with each offering a Python client to interact with respective backend services (Qdrant vs Milvus).","successor_context":null,"tool":{"slug":"qdrant-qdrant-client","name":"qdrant-client","tagline":"Python client for Qdrant vector search engine","github_url":"https://github.com/qdrant/qdrant-client","owner":"qdrant","repo":"qdrant-client","owner_avatar_url":"https://avatars.githubusercontent.com/u/73504361?v=4","primary_language":"Python","stars":1346,"forks":275,"topics":["qdrant","vector-database","vector-search","vector-search-engine"],"archived":false,"github_pushed_at":"2026-08-21T04:56:35+00:00","maintenance_label":"Very active","stars_delta_30d":16,"url":"https://www.graphcanon.com/tools/qdrant-qdrant-client","markdown_url":"https://www.graphcanon.com/tools/qdrant-qdrant-client.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/qdrant-qdrant-client","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=qdrant-qdrant-client"}}],"neighbours":[{"slug":"milvus-io-milvus","name":"milvus","tagline":"High-performance cloud-native vector database","github_url":"https://github.com/milvus-io/milvus","owner":"milvus-io","repo":"milvus","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Go","stars":45402,"forks":4147,"topics":["anns","cloud-native","diskann","distributed","embedding-database","embedding-similarity","embedding-store","faiss","golang","hnsw","image-search","llm","nearest-neighbor-search","rag","vector-database","vector-search","vector-similarity","vector-store"],"archived":false,"github_pushed_at":"2026-07-28T17:42:13+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/milvus-io-milvus","markdown_url":"https://www.graphcanon.com/tools/milvus-io-milvus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-milvus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-milvus","shared_categories":["vector-databases"]},{"slug":"unum-cloud-usearch","name":"USearch","tagline":"Fast Open-Source Search & Clustering engine for Vectors & Arbitrary Objects","github_url":"https://github.com/unum-cloud/USearch","owner":"unum-cloud","repo":"USearch","owner_avatar_url":"https://avatars.githubusercontent.com/u/56397513?v=4","primary_language":"C++","stars":4230,"forks":335,"topics":["approximate-nearest-neighbor-search","clustering","database","faiss","full-text-search","fuzzy-search","image-search","kann","nearest-neighbor-search","recommender-system","search","search-engine","semantic-search","simd","similarity-search","text-search","vector-search","webassembly"],"archived":false,"github_pushed_at":"2026-07-10T18:39:13+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/unum-cloud-usearch","markdown_url":"https://www.graphcanon.com/tools/unum-cloud-usearch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/unum-cloud-usearch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=unum-cloud-usearch","shared_categories":["vector-databases"]},{"slug":"milvus-io-bootcamp","name":"bootcamp","tagline":"Dealing with all unstructured data including reverse image search, audio search, molecular search, video analysis, and question-answer systems.","github_url":"https://github.com/milvus-io/bootcamp","owner":"milvus-io","repo":"bootcamp","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Jupyter Notebook","stars":2443,"forks":684,"topics":["audio-search","deep-learning","embeddings","image-classification","image-recognition","image-search","llm","milvus","nlp","python","question-answering","rag","semantic-search","unstructured-data","vector-database"],"archived":false,"github_pushed_at":"2026-08-11T02:10:46+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/milvus-io-bootcamp","markdown_url":"https://www.graphcanon.com/tools/milvus-io-bootcamp.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-bootcamp","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-bootcamp","shared_categories":["vector-databases"]},{"slug":"asg017-sqlite-vss","name":"sqlite-vss","tagline":"A SQLite extension for efficient vector search based on Faiss","github_url":"https://github.com/asg017/sqlite-vss","owner":"asg017","repo":"sqlite-vss","owner_avatar_url":"https://avatars.githubusercontent.com/u/15178711?v=4","primary_language":"C++","stars":1999,"forks":75,"topics":["faiss","sqlite","sqlite-extension","vector-search"],"archived":false,"github_pushed_at":"2024-05-05T20:00:16+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/asg017-sqlite-vss","markdown_url":"https://www.graphcanon.com/tools/asg017-sqlite-vss.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/asg017-sqlite-vss","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=asg017-sqlite-vss","shared_categories":["vector-databases"]},{"slug":"currentslab-awesome-vector-search","name":"awesome-vector-search","tagline":"Collections of vector search related libraries, service and research papers","github_url":"https://github.com/currentslab/awesome-vector-search","owner":"currentslab","repo":"awesome-vector-search","owner_avatar_url":"https://avatars.githubusercontent.com/u/52959491?v=4","primary_language":null,"stars":1576,"forks":123,"topics":["awesome","awesome-list","knn-search","machine-learning","nearest-neighbor-search","search-engine","similarity-search","vector","vector-search","vector-search-engine"],"archived":false,"github_pushed_at":"2026-07-06T04:12:57+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/currentslab-awesome-vector-search","markdown_url":"https://www.graphcanon.com/tools/currentslab-awesome-vector-search.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/currentslab-awesome-vector-search","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=currentslab-awesome-vector-search","shared_categories":["vector-databases"]},{"slug":"qdrant-qdrant-client","name":"qdrant-client","tagline":"Python client for Qdrant vector search engine","github_url":"https://github.com/qdrant/qdrant-client","owner":"qdrant","repo":"qdrant-client","owner_avatar_url":"https://avatars.githubusercontent.com/u/73504361?v=4","primary_language":"Python","stars":1346,"forks":275,"topics":["qdrant","vector-database","vector-search","vector-search-engine"],"archived":false,"github_pushed_at":"2026-08-21T04:56:35+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/qdrant-qdrant-client","markdown_url":"https://www.graphcanon.com/tools/qdrant-qdrant-client.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/qdrant-qdrant-client","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=qdrant-qdrant-client","shared_categories":["vector-databases"]},{"slug":"zilliztech-vectordbbench","name":"VectorDBBench","tagline":"Benchmark for vector databases","github_url":"https://github.com/zilliztech/VectorDBBench","owner":"zilliztech","repo":"VectorDBBench","owner_avatar_url":"https://avatars.githubusercontent.com/u/18416694?v=4","primary_language":"Python","stars":1164,"forks":425,"topics":["benchmark","cost-effectiveness","performance","vector-database","vector-search","vectordb"],"archived":false,"github_pushed_at":"2026-08-14T10:00:47+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/zilliztech-vectordbbench","markdown_url":"https://www.graphcanon.com/tools/zilliztech-vectordbbench.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zilliztech-vectordbbench","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zilliztech-vectordbbench","shared_categories":["vector-databases"]},{"slug":"azure-azure-search-vector-samples","name":"azure-search-vector-samples","tagline":"Code samples for vector search capabilities in Azure AI Search","github_url":"https://github.com/Azure/azure-search-vector-samples","owner":"Azure","repo":"azure-search-vector-samples","owner_avatar_url":"https://avatars.githubusercontent.com/u/6844498?v=4","primary_language":"Jupyter Notebook","stars":910,"forks":378,"topics":["azure","azurecognitivesearch","embeddings","vector","vector-search"],"archived":false,"github_pushed_at":"2026-07-22T23:06:08+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/azure-azure-search-vector-samples","markdown_url":"https://www.graphcanon.com/tools/azure-azure-search-vector-samples.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/azure-azure-search-vector-samples","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=azure-azure-search-vector-samples","shared_categories":["vector-databases"]},{"slug":"danny-avila-rag-api","name":"rag_api","tagline":"ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector","github_url":"https://github.com/danny-avila/rag_api","owner":"danny-avila","repo":"rag_api","owner_avatar_url":"https://avatars.githubusercontent.com/u/110412045?v=4","primary_language":"Python","stars":885,"forks":387,"topics":["api","api-rest","embeddings","fastapi","langchain","pgvector","postgresql","psql","python","rag","vector","vector-database"],"archived":false,"github_pushed_at":"2026-08-15T17:09:36+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/danny-avila-rag-api","markdown_url":"https://www.graphcanon.com/tools/danny-avila-rag-api.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/danny-avila-rag-api","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=danny-avila-rag-api","shared_categories":["vector-databases"]},{"slug":"epsilla-cloud-vectordb","name":"vectordb","tagline":"High performance Vector Database Management System","github_url":"https://github.com/epsilla-cloud/vectordb","owner":"epsilla-cloud","repo":"vectordb","owner_avatar_url":"https://avatars.githubusercontent.com/u/132872759?v=4","primary_language":"C++","stars":875,"forks":46,"topics":["ai","chatgpt","data","data-science","database","embeddings","embeddings-similarity","infrastructure","llms","machine-learning","neural-network","neural-search","rag","retrieval","search-engine","vector-database","vector-search"],"archived":false,"github_pushed_at":"2025-11-29T16:02:22+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/epsilla-cloud-vectordb","markdown_url":"https://www.graphcanon.com/tools/epsilla-cloud-vectordb.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/epsilla-cloud-vectordb","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=epsilla-cloud-vectordb","shared_categories":["vector-databases"]},{"slug":"jina-ai-vectordb","name":"vectordb","tagline":"A Python vector database you just need - no more, no less.","github_url":"https://github.com/jina-ai/vectordb","owner":"jina-ai","repo":"vectordb","owner_avatar_url":"https://avatars.githubusercontent.com/u/60539444?v=4","primary_language":"Python","stars":650,"forks":49,"topics":["embedding-similarity","neural-search","sentence-embeddings","vector-database","vector-database-embedding","vector-search"],"archived":false,"github_pushed_at":"2024-03-04T17:10:06+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/jina-ai-vectordb","markdown_url":"https://www.graphcanon.com/tools/jina-ai-vectordb.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jina-ai-vectordb","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jina-ai-vectordb","shared_categories":["vector-databases"]},{"slug":"kelindar-search","name":"search","tagline":"Go library for embedded vector search and semantic embeddings with llamacpp","github_url":"https://github.com/kelindar/search","owner":"kelindar","repo":"search","owner_avatar_url":"https://avatars.githubusercontent.com/u/583116?v=4","primary_language":"Go","stars":555,"forks":24,"topics":["ai","bert","embeddings","gguf","gpu","llamacpp","search-engine","semantic-search","simd","vector-search"],"archived":false,"github_pushed_at":"2026-03-06T18:57:20+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/kelindar-search","markdown_url":"https://www.graphcanon.com/tools/kelindar-search.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kelindar-search","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kelindar-search","shared_categories":["vector-databases"]}]}}