SemaDB v2
SemaDB is a multi-index multi-vector document-based vector database and search engine designed to offer a clear and easy-to-use JSON RESTful API. It is fully open-source and packed with powerful search features such as hybrid search, filtered search, geo-indexing, and more.
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Description
SemaDB is a multi-index, multi-vector document-based vector database search engine designed to offer a clear and easy-to-use JSON RESTful API. It is fully open-source and packed with powerful search features such as hybrid search, filtered search, geo-indexing, and more.
How to use SemaDB v2?
To use SemaDB, simply interact with the RESTful API using a familiar JSON format. No custom clients or initialization are required. The API documentation is available online with examples and tutorials for each endpoint.
Core features of SemaDB v2:
1️⃣
Multi-index database
2️⃣
Multi-vector search engine
3️⃣
JSON RESTful API
4️⃣
Hybrid search
5️⃣
Filtered search
Why could be used SemaDB v2?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Semantic search engine | ✅ | |
| # 2 | Enhancing chatbots | ✅ | |
| # 3 | Developing custom AI models | ✅ | |
Who developed SemaDB v2?
Semafind Limited specializes in helping clients unlock the potential of cutting-edge AI technologies like vector search, retrieval, augmented generation (RAG), and machine learning. Their team of experts is dedicated to guiding clients in building powerful semantic search engines, enhancing chatbots, and developing custom AI models for valuable insights from data.