💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
Repository Index
47,133 repositories indexed
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Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
- approximate-nearest-neighbor-search
- image-search
- nearest-neighbor-search
- recommender-system
A modern text/numeric/geo-spatial/vector indexing library for go
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
- ai-native
- nearest-neighbor-search
- rag
- vector-search
Object-storage native graph database with branching and typed ontology
- apache-arrow
- datafusion
- graph-database
- knowledge-graph
Language model search engine built on a vector database and an anything key/value store.
- information-retrieval
- search-engine
- vector-space-model
- machine-learning
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.