metadata-filtering

Here are 10 public repositories matching this topic...

cyborginc / cyborgdb-go

Go Client for CyborgDB: The Encrypted Vector Database

go golang open-source cryptography encryption ai rest-api vector embeddings ann golang-package vector-search ai-ml vector-database vector-embeddings metadata-filtering cyborgdb

Updated Jun 18, 2026
Go

cyborginc / cyborgdb-py

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Python Client SDK for CyborgDB: The Encrypted Vector Database

python open-source cryptography encryption ai rest-api vector ann python-module pip-package vector-search ai-ml vector-database vector-embeddings metadata-filtering cyborgdb

Updated Jun 18, 2026
Python

cyborginc / cyborgdb-js

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JS & TS Client SDK for CyborgDB: The Encrypted Vector Database

javascript open-source cryptography encryption ai rest-api vector embeddings ann vector-search ai-ml vector-database vector-embeddings typecsript metadata-filtering cyborgdb

Updated Jun 18, 2026
TypeScript

bhardwaj-vipul / SmartFilteringRAG

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Metadata filtering in RAG application

python mongodb vector openai filtering embedding rag mongodb-atlas-search llm genai llm-agent retrieval-augmented-generation smart-filtering metadata-filtering pre-filter self-query-retriever

Updated Apr 16, 2025
Jupyter Notebook

Rohith-2 / bm25-fusion

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An ultra-fast BM25 retriever with support for multiple variants and meta-data filtering.

python search information-retrieval numba bm25 keyword-search rag lexical-search sparse-search metadata-filtering py-search

Updated Mar 30, 2025
Python

CheunAnthony / financial_advisor

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This project is a **production-ready multi-agent AI financial advisory system** designed to deliver **holistic, personalized financial guidance**.

gradio semantic-search multi-agent-systems rag vector-database llm langchain llamaindex financial-advisor agentic-ai metadata-filtering

Updated Feb 3, 2026
Python

KartikPawade / Semantic-RAG-Knowledge-Engine

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A production-ready Advanced RAG API featuring background ingestion, schema-driven routing, and dynamic metadata filtering. Built with FastAPI, ChromaDB, and Ollama, it utilizes RabbitMQ workers for scalable, idempotent document processing and autonomous query expansion.