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Vector-Knowledge-Base
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Vector-Knowledge-Base

Active·★ 10·MIT·Updated 2026-03-02
★ Hidden Gem★ RAG / Knowledge Base★ API Integration

A semantic search engine that transforms your documents into an intelligent, searchable knowledge base using vector embeddings and AI

Vector Knowledge Base is a semantic search engine that transforms various document types into a searchable knowledge base. It allows users to upload files like PDFs, Word documents, images, and code, then search them using natural language queries to find relevant information quickly.

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Code AssistantWorkflow AutomationRAG / Knowledge BaseMulti-AgentBrowser AutomationLLM InfraDev ToolingObservability

Not affiliated with Anthropic, OpenAI or Microsoft.

#Semantic Search#Vector Database#Document Management#AI Agent Integration#Clustering#Natural Language Processing#FastAPI#Qdrant
$ Install
$ git clone https://github.com/i3T4AN/Vector-Knowledge-Base.git && cd Vector-Knowledge-Base && docker-compose up -d
↗ Visit site★ GitHub
01

Features

01Semantic Search
02Auto-Clustering with Semantic Naming
03Multi-Format Document Support (PDF, DOCX, images, code, etc.)
04AI Agent Integration via Model Context Protocol (MCP)
05Interactive 3D Embedding Visualization
02

Compatibility

Python
Runtime
Verified via docs
FastAPI
Backend Framework
Verified via docs
Qdrant
Vector Database
Verified via docs
Docker
Containerization
Verified via docs
Docker Compose
Orchestration
Verified via docs
macOS
OS
Verified via docs
03

Quick start

1
$ git clone https://github.com/i3T4AN/Vector-Knowledge-Base.git
2
$ cd Vector-Knowledge-Base
3
$ docker-compose up -d
04

Use cases

↳Building a personal semantic search engine for various documents.
↳Efficiently searching and organizing research papers, notes, and learning materials.
↳Facilitating AI agent interaction for document creation, search, and management.
↳Managing and exploring large collections of code, images, and office documents.
05

Alternatives

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Related searches

Vector-Knowledge-Base AlternativesBest Vision / Multimodal Tools 2026Open Source Vision / MultimodalVector-Knowledge-Base TutorialVector-Knowledge-Base Vs CompetitorsSemantic SearchVector DatabaseDocument Management

Comments

Log in to leave a comment
  • Cameron Lee
    Cameron LeeMay 15, 2026

    Vector embeddings + semantic search for your documents is a well-implemented pattern here.

  • S
    Skyler GarciaMay 11, 2026

    The semantic search accuracy is good. Retrieves relevant context even with paraphrased queries.

  • C
    Cameron JacksonApr 24, 2026

    Self-hosted vector knowledge base is the right architecture for sensitive document sets.

  • T
    Taylor AndersonApr 9, 2026

    Transforms static document collections into a queryable knowledge base. Works with Claude via MCP.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
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2mo ago
StatusActive
LicenseMIT
CategoryVision / Multimodal
Trend (30d)
+0.4↑ 0.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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