🏅 Best Vector Database For Langchain
Scalable RAG System with LangChain and Redis Vector Search
· This article breaks down how to architect a production-grade RAG pipeline using LangChain as the orchestration layer and Redis as the vector database. The focus is on real-world deployments: latency budgets, vector chunking strategies, session memory, filtering, secure multi-tenancy and query tuning for precision.
3 days ago
How Do I Store a Knowledge Graph in a Database? | DataStax
· This means that, instead of supporting a graph database just to implement Graph RAG, you can leverage your existing vector database, such as Astra DB, to store your knowledge graphs as vector embeddings. Components such as LangChain’s GraphVectorStore enable parsing and creating a hybrid vector/graph store you can then save to a vector database.
2 days ago
Top RAG Tools to Boost Your LLM Workflows in 2025 - makebot.ai
· Recent benchmarks indicate that LlamaIndex's vector index achieves 25-30% faster query times compared to basic vector database implementations. The framework's strength in RAG workflows comes from its simplified API for connecting diverse knowledge sources to LLMs , making it an excellent choice for developers looking to quickly implement Retrieval Augmented Generation without building complex ...
5 days ago
9 Best Vector Database Courses to Implement AI’s Searchable Memory
· A vector database is the infrastructure that stores, indexes, and enables efficient searching through millions or billions of these embeddings. You need both: embeddings to capture semantic meaning, and vector databases to make that meaning searchable at scale. ... Integrating vector databases with LangChain for RAG applications; Best practices ...
9
3 days ago
Embedding Intelligence with Vector Search and RAG Models: A Deep Dive
· Words that have similar meanings are clustered together in the vector database for AI applications. For instance, “automobile”, “car”, “vehicle”, “sedan”, will all be mapped to nearby points in vector space. ... Best Tools and Frameworks for Building Vector Search and RAG Systems ... LangChain. LangChain offers a comprehensive ...
3 days ago
Python RAG API Tutorial with LangChain & FastAPI – Complete Guide
· A hands-on guide to building a Retrieval-Augmented Generation (RAG) API using Python, LangChain, FastAPI, and pgvector — complete with architecture diagrams and code. Vitalii Honchar — AI & Backend Engineering
2 days ago
chromadb - PyPI
· Integrations: 🦜️🔗 LangChain (python and js), 🦙 LlamaIndex and more soon; Dev, Test, Prod: the same API that runs in your python notebook, scales to your cluster; Feature-rich: Queries, filtering, density estimation and more; Free & Open Source: Apache 2.0 Licensed; Use case: ChatGPT for _____ For example, the "Chat your data" use case:
Feb 9, 2023
LangChain v0.3 Tutorial: Build Production-Ready LLM Applications
· # Core LangChain installation pip install langchain==0.3.0 # Vector database support pip install langchain-community chromadb faiss-cpu # LLM providers pip install langchain-openai langchain-anthropic # Additional utilities pip install python-dotenv streamlit ... Step-by-step tutorial with code examples, authentication, and best practices. How ...
2 days ago
Best Local Vector Database
Top Vector Databases in 2025: A Comparative Overview
· In 2025, the vector database landscape offers diverse solutions tailored to different use cases, performance requirements, and scalability needs. This comprehensive guide examines the leading vector database solutions available in 2025, providing technical insights, performance comparisons, and practical recommendations to help you choose the right platform for your AI-powered applications.
2 days ago
Vector Databases: Transforming Raw Data into AI Magic
· Master vector databases with this comprehensive guide covering embeddings, indexing, optimization, and real-world applications. Learn to choose the right vector database (Milvus, Pinecone, Weaviate), implement efficient similarity searches, and build AI-powered applications like recommendation systems, visual search, and anomaly detection. Includes step-by-step tutorials, performance ...
1 day ago
Vector Database Comparison: Pinecone vs Weaviate vs Chroma - Complete ...
· Self-Hosted: Free open-source deployment Weaviate Cloud Services: Starting at $25/month for managed hosting Enterprise: Custom pricing with dedicated support and SLAs Chroma: Developer-Friendly Vector Database. Chroma focuses on developer experience with simple APIs and local development capabilities.
2 days ago
Using Vector Databases to Extend LLM Capabilities - .NET
· Store and index the embeddings in a vector database or search service. Convert user prompts from your application to embeddings. Run a vector search across your data, comparing the user prompt embedding to the embeddings your database. Use a language model such as GPT-35 or GPT-4 to assembly a user friendly completion from the vector search ...
2 days ago
Pinecone Alternatives: What Are Your Options? | DataStax
· Pinecone is one of the most widely used vector database services. But that doesn’t mean that it’s the best solution for every team. In fact, in the same “State of AI” report linked above, Pinecone ranked next to the bottom when users were asked whether they would recommend the vector database to others. Being “popular” does not necessarily mean being loved.
1 day ago
Top 23 image-search Open-Source Projects - LibHunt
· Weaviate is open-source vector database state-of-the-art machine learning (ML) models to turn your data - text, images, and more - into a searchable vector database. It stores both objects and vectors, allowing for the combination of vector search with structured filtering. Thus, the performance of search is integral especially for a database.
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3 days ago
DocumentDB Local – MongoDB API on Your Machine - Azure Cosmos DB Blog
· Azure Cosmos DB is a fully managed and serverless NoSQL and vector database for modern app development, including AI applications. With its SLA-backed speed and availability as well as instant dynamic scalability, it is ideal for real-time NoSQL and MongoDB applications that require high performance and distributed computing over massive volumes of NoSQL and vector data.
3 days ago
Welcome to VectorX Docs
· Welcome to the official documentation for VectorX – a secure, client-side encrypted vector database. Start by choosing a section from the sidebar, or use the quick links below. Get Started. Introduction; Quickstart; Installation; Integration - Lang Chain; Integration - Llama Index; Core Concepts. Usage Guide; Security & Key Management;
May 24, 2025
Best Open Source Vector Db
Top Vector Databases in 2025: A Comparative Overview
· Best For: Performance-critical applications, distributed systems requiring high throughput. Pricing: Open-source with managed cloud service starting from $50/month. 4. Chroma. Overview: Chroma positions itself as the AI-native open-source embedding database, focusing on simplicity and developer experience. Key Features: Lightweight and easy to ...
2 days ago
Vector Database Comparison: Pinecone vs Weaviate vs Chroma - Complete ...
· Self-Hosted: Free open-source deployment Weaviate Cloud Services: Starting at $25/month for managed hosting Enterprise: Custom pricing with dedicated support and SLAs Chroma: Developer-Friendly Vector Database. Chroma focuses on developer experience with simple APIs and local development capabilities.
2 days ago
Vector Databases: Transforming Raw Data into AI Magic
· Milvus is an open source, highly scalable vector database that supports multiple indexing algorithms like HNSW and inverted file indexing (IVF). You can integrate it with ML frameworks like TensorFlow and PyTorch. Pinecone is a managed vector database designed to be simple to use, helping you to automatically scale for millions of vectors. It ...
1 day ago
Pinecone Alternatives: What Are Your Options? | DataStax
· However, if Astra DB meets your general requirements as outlined above (hybrid database, managed solution, built on open source), we believe you'll love Astra DB. Astra DB is the only vector database with real-time indexing, hybrid search, and a familiar Data API (MongoDB-compatible) that supports both vector and non-vector data.
1 day ago
Top 23 image-search Open-Source Projects - LibHunt
· Weaviate is open-source vector database state-of-the-art machine learning (ML) models to turn your data - text, images, and more - into a searchable vector database. It stores both objects and vectors, allowing for the combination of vector search with structured filtering. Thus, the performance of search is integral especially for a database.
23
May 19, 2025
Using Vector Databases to Extend LLM Capabilities - .NET
· Store and index the embeddings in a vector database or search service. Convert user prompts from your application to embeddings. Run a vector search across your data, comparing the user prompt embedding to the embeddings your database. Use a language model such as GPT-35 or GPT-4 to assembly a user friendly completion from the vector search ...
Nov 24, 2024
Milvus Hits 35,000 GitHub Stars As AI Developers Embrace Open-Source ...
· Most Popular Vector Database on GitHub Powers Thousands of AI Applications Worldwide. REDWOOD CITY, Calif., May 30, 2025 /PRNewswire/ — Zilliz, creator of the leading open-source vector database Milvus, today announced that Milvus has achieved 35,000 stars on GitHub, establishing it as the most popular vector database platform globally.The milestone reinforces Milvus’s dominant market ...
1 day ago
Vector Databases: The Key to Scalable AI with Unstructured Data
· Purpose-built vector databases. OpenSearch (Elasticsearch + k-NN plugin) Hybrid keyword + vector search. Salesforce Data Cloud. Multi-model AI-driven customer data platform. LangChain + FAISS. Open-source stack for building RAG pipelines. Azure Cognitive Search. Enterprise-ready vector search with Microsoft tooling
3 days ago
Best Vector Store For Langchain
Scalable RAG System with LangChain and Redis Vector Search
· Redis now supports HNSW-based vector indexing, hybrid metadata filtering and native integration with LangChain, making it a high-performance, zero-friction choice for embedding-aware systems. This article breaks down how to architect a production-grade RAG pipeline using LangChain as the orchestration layer and Redis as the vector database.
3 days ago
How Do I Store a Knowledge Graph in a Database? | DataStax
· This means that, instead of supporting a graph database just to implement Graph RAG, you can leverage your existing vector database, such as Astra DB, to store your knowledge graphs as vector embeddings. Components such as LangChain’s GraphVectorStore enable parsing and creating a hybrid vector/graph store you can then save to a vector database.
2 days ago
Python RAG in Under 5 Minutes using Langchain, OpenAI, FAISS
· Step 3. Then, we demonstrate how to index these using FAISS, creating a high-performance vector store capable of accurate retrival of information from the documents Step 4.
5 days ago
What Is RAG and How I Used It to Build a Blog Chatbot with LangChain
· Learn how to build a fast, lightweight AI chatbot for your blog using LangChain, RAG (Retrieval-Augmented Generation), FAISS, and Netlify Functions. This guide walks through indexing markdown content, setting up a vector store, and deploying a serverless chatbot with OpenAI—all without heavy frameworks or databases.
5 days ago
Python RAG API Tutorial with LangChain & FastAPI – Complete Guide
· A hands-on guide to building a Retrieval-Augmented Generation (RAG) API using Python, LangChain, FastAPI, and pgvector — complete with architecture diagrams and code.
2 days ago
100 Local Rag Using Langchain Deepseek Ollama Qdrant Docling ...
· Fully Local Rag With Qdrant Ollama Langchain And Langserve By Agent Fully Local Rag With Qdrant Ollama Langchain And Langserve By Agent The tutorial provided a step by step approach to deploying deepseek r1 using ollama, integrating qdrant for vector search, and implementing a retrieval augmented generation (rag) model to enhance response accuracy.
100
3 days ago
Building a Conversational AI Chatbot Website with Backblaze B2 + LangChain
· In an earlier blog post, I explained how to build your own LLM with Backblaze B2 + Jupyter Notebook, implementing a simple conversational AI chatbot using the LangChain AI framework to implement retrieval-augmented generation (RAG). The notebook walks you through the process of loading PDF files from a Backblaze B2 Bucket into a vector store, running a local instance of a large language model ...
3 days ago
Markdown text-spliter for vector store - community.n8n.io
· Enhance AI Task Performance: Tests demonstrate that chunks with hierarchical context metadata improve question-answering system accuracy by 18.7% (arXiv:2307.03172). Align with Industry Best Practices: Similar functionality has proven effective in frameworks like LlamaIndex and LangChain.
3 days ago
Top Vector Database Open Source
Top Vector Databases in 2025: A Comparative Overview
· Pricing: Open-source with managed cloud service starting from $50/month. 4. Chroma. Overview: Chroma positions itself as the AI-native open-source embedding database, focusing on simplicity and developer experience. Key Features: Lightweight and easy to integrate; Python and JavaScript SDKs; Built-in embedding functions; Local development support
2 days ago
Vector Database Comparison: Pinecone vs Weaviate vs Chroma - Complete ...
· Self-Hosted: Free open-source deployment Weaviate Cloud Services: Starting at $25/month for managed hosting Enterprise: Custom pricing with dedicated support and SLAs Chroma: Developer-Friendly Vector Database. Chroma focuses on developer experience with simple APIs and local development capabilities.
2 days ago
Top 23 image-search Open-Source Projects - LibHunt
· Weaviate is open-source vector database state-of-the-art machine learning (ML) models to turn your data - text, images, and more - into a searchable vector database. It stores both objects and vectors, allowing for the combination of vector search with structured filtering. Thus, the performance of search is integral especially for a database.
23
3 days ago
Vector Databases: Transforming Raw Data into AI Magic
· Milvus is an open source, highly scalable vector database that supports multiple indexing algorithms like HNSW and inverted file indexing (IVF). You can integrate it with ML frameworks like TensorFlow and PyTorch. Pinecone is a managed vector database designed to be simple to use, helping you to automatically scale for millions of vectors. It ...
1 day ago
Milvus Hits 35,000 GitHub Stars as AI Developers Embrace Open-Source ...
· Most Popular Vector Database on GitHub Powers Thousands of AI Applications Worldwide. REDWOOD CITY, Calif., May 30, 2025 /PRNewswire/ -- Zilliz, creator of the leading open-source vector database ...
1 day ago
Pinecone Alternatives: What Are Your Options? | DataStax
· However, if Astra DB meets your general requirements as outlined above (hybrid database, managed solution, built on open source), we believe you'll love Astra DB. Astra DB is the only vector database with real-time indexing, hybrid search, and a familiar Data API (MongoDB-compatible) that supports both vector and non-vector data.
1 day ago
OpenSearch 3.0 Now Generally Available, with a Focus on Vector Database ...
· With performance as a key focus of this release, OpenSearch 3.0 delivers up to 9.5x faster vector search compared to version 1.3, thanks to support for GPU acceleration and more efficient indexing.
15 hours ago
Using Vector Databases to Extend LLM Capabilities - .NET
· Vector databases provide vector search capabilities to find similar items based on their data characteristics rather than by exact matches on a property field. Vector search works by analyzing the vector representations of your data that you created using an AI embedding model such the Azure OpenAI embedding models. The search process measures ...
2 days ago