VectifyAI/ConDB
ConDB: The KV-Cache Native Context Database
ConDB helps you find truly relevant information within large, complex documents or conversations using AI reasoning, similar to how a human expert navigates a table of contents. Instead of sifting through many pages or chat logs, you feed it your structured documents or conversation history, and it intelligently retrieves the exact content you need. This tool is for anyone who needs to quickly extract precise answers or information from extensive text, like researchers, legal professionals, or customer support specialists managing knowledge bases.
Use this if you need highly accurate and context-aware retrieval from long, structured documents or dynamic conversation histories, especially when traditional keyword or vector search often misses the mark.
Not ideal if your primary need is simple keyword matching on unstructured text or if you don't require deep, reasoning-based understanding of the content to find answers.
Stars
9
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 31, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/VectifyAI/ConDB"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
itsmostafa/qi
query search engine cli for humans and ai agents
Azure-Samples/azure-sql-db-ai-samples-search
To gain access, please finish setting up this repository now at:
SkardiLabs/skardi
Run SQL across Relational DBs, Data Lakes, S3, MongoDB, Redis, and vector stores. Turn any query...
prdai/research-navigator
fastapi backend powered by crewai agents for automated research, data retrieval, and synthesis....
insight-apac-demo/aiapp1day
This repository contains the materials and resources for the "Azure AI App-in-a-Day Hackathon."...