HNSW vector search implementations
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Updated
Nov 14, 2023 - Shell
HNSW vector search implementations
A project aiming to leverage text embeddings and Milvus, a high-performance vector search engine, to detect duplicate job postings.
JavaScript client library to access Aquila Network Neural Search Engine.
Everyting you need to know about Aquila Network Neural Search Ecosystem. Official repositories, client libraries, ecosystem projects, boilerplate, tutorials, learning and more..
Workshop LLM and Database Vector at Google DevFest Cerrado 2023, Goiânia, Goiás, Brazil.
Cherrry Javascript SDK
Using USearch vector-search engine for RAG with LangChain
A visual search engine for Jumia that lets users search for products by uploading an image. It uses computer vision to find similar or identical products within the store's inventory, saving users time and providing a more personalized shopping experience.
Aquila Network Neural Search Engine technical specifications
C++ faiss Server for faiss 1.7 and above, works on mac m1 and linux.
Typescript component to use Indx Search with RestAPI
Typescript component to load data to Indx Search with RestAPI
iFetch is a multimodal conversational agents for the online fashion marketplace. Co-promotion initiative with CMU, UNL and IST having FARFETCH as leader of the consortium. Check new page for more information.
Load and serve Neural Encoder Models
Comparing USearch to FAISS and other Vector Search engines on Billion-scale datasets
gRPC server for hnswlib
Python package for labeing data more efficiently
AI song recommendations based on the feel of a song
Enhance the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. Learn to integrate vector search with traditional database operations and apply techniques like prefiltering, postfiltering, projection, and prompt compression.
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