Remove legacy storage implementations and deprecated examples: - Delete FAISS, JSON, Memgraph, Milvus, MongoDB, Nano Vector DB, Neo4j, NetworkX, Qdrant, Redis storage backends - Remove Kubernetes deployment manifests and installation scripts - Delete unofficial examples for deprecated backends and offline deployment docs Streamline core infrastructure: - Consolidate storage layer to PostgreSQL-only implementation - Add full-text search caching with FTS cache module - Implement metrics collection and monitoring pipeline - Add explain and metrics API routes Modernize frontend and tooling: - Switch web UI to Bun with bun.lock, remove npm and pnpm lockfiles - Update Dockerfile for PostgreSQL-only deployment - Add Makefile for common development tasks - Update environment and configuration examples Enhance evaluation and testing capabilities: - Add prompt optimization with DSPy and auto-tuning - Implement ground truth regeneration and variant testing - Add prompt debugging and response comparison utilities - Expand test coverage with new integration scenarios Simplify dependencies and configuration: - Remove offline-specific requirement files - Update pyproject.toml with streamlined dependencies - Add Python version pinning with .python-version - Create project guidelines in CLAUDE.md and AGENTS.md
16 lines
346 B
Text
16 lines
346 B
Text
[postgres]
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host = localhost
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port = 5432
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user = your_username
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password = your_password
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database = your_database
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# workspace = default
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max_connections = 12
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vector_index_type = HNSW # HNSW, IVFFLAT or VCHORDRQ
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hnsw_m = 16
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hnsw_ef = 64
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hnsw_ef_search = 200
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ivfflat_lists = 100
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vchordrq_build_options =
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vchordrq_probes =
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vchordrq_epsilon = 1.9
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