Embedded property-graph database with native vector and full-text indexing. Think SQLite, but for connected data you want to query by relationship, semantics, and text. Embedded single-file knowledge graph database with vector search and full-text search for AI/RAG apps.

One file. Relationship traversal, vector similarity, BM25 full-text search, durable streams, and ACID transactions in one local engine and one query layer.

• LatticeDB @ GitHub.

A vector indexing library to bring fast, fresh and filtered search to your database.

DiskANN3 is a composable library for bringing scalable, accurate and cost-effective vector indexing to multiple databases. It draws on research from the DiskANN project.

Related contents:

• 653: Microsoft's Franck Pachot @ Coder Radio.

Memory Management Kit for Agents - Remember Me, Refine Me.

🧠 ReMe is a memory management framework built for AI agents, offering both file-based and vector-based memory systems.

It addresses two core problems of agent memory: limited context windows (early information gets truncated or lost during long conversations) and stateless sessions (new conversations cannot inherit history and always start from scratch).

ReMe gives agents real memory — old conversations are automatically condensed, important information is persisted, and the next conversation can recall it automatically.

The vector database to build knowledgeable AI.

The vector database for machine learning applications. Build vector-based personalization, ranking, and search systems that are accurate, fast, and scalable.

Related contents:

• Building a Hybrid Search RAG System with Pinecone and LangChain @ Arpan Roy's Medium.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

• Weaviate @ GitHub.

Related contents:

• 37 Things I Learned About Information Retrieval in Two Years at a Vector Database Company @ Leonie Monigatti.

The most powerful vector database for building AI applications. Open-source PostgreSQL database extension for vector data and vector search operations.

Lantern is an open-source PostgreSQL database extension to store vector data, generate embeddings, and handle vector search operations.

• Lantern @ GitHub.

Qdrant (read: quadrant ) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.

• Qdrant @ GitHub.

Related contents:

• 270 - DB Vectorielle - Noé Achache @ <ifttd> :fr:.
• Episode 641: Qdrant's Brian O'Grady @ Coder Radio.