verctor-search

Here are 4 public repositories matching this topic...

VikasKumar281 / CognifyAI

Advanced AI assistant combining RAG, Gemini, hybrid BM25 + vector search, and Speech AI for intelligent document Q&A, semantic search, audio transcription, summarization, sentiment analysis, and conversational memory. Built with Python, Streamlit, Whisper, and Supabase.

nlp machine-learning artificial-intelligence gemini semantic-search nlp-machine-learning conversational-ai rag speect-to-text llm retrieval-augmented-generation verctor-search

Updated Sep 6, 2026
Python

ElliotOne / nl-embedding-index-lifecycle-gates-rag-systems

Star

Production-shaped .NET lifecycle gates for validating, evaluating, snapshotting, restoring, and safely promoting RAG embedding indexes.

machine-learning ai csharp dotnet embeddings artificial-intelligence openai foundry rag llm retrieval-augmented-generation microsoft-foundry microsoftfoundry verctor-search

Updated Sep 19, 2026
C#

WilSenwish / spring-ai-learn

Star

Spring AI 1.1.2 混合检索 RAG 实践项目，基于自定义 Advisor 链实现可插拔流水线。向量检索 + RediSearch 全文检索 + RRF 融合 + MultiQuery 扩展 + 会话记忆，后端存储 Redis Vector Store。

spring rag verctor-retrieval spring-ai redis-vector-store rrf-fusion verctor-search redis-memory

Updated Jul 22, 2026
Java

Mounusha25 / Nexus_contact_Manager

Star

AI-powered relationship CRM built as 4 Spring Boot microservices with Kafka-async AI enrichment. AWS Bedrock + FAISS semantic dedup improves contact-matching accuracy by 70%; a transparent 0-100 relationship-health score updates in under 200ms, and Claude (200K-token context) answers natural-language CRM queries in 2-5 seconds.

java docker redis typescript microservice nextjs postgresql crm springboot kafk fais aws-bedrock verctor-search

Updated Oct 18, 2026
TypeScript

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